Academic Projects

Project Title : FAULT TEXT DETECTION
Project Id : 17MINI-A1
Guide Details : DR RAJANIKANTH ALUVALU , PROFESSOR & HEAD OF THE DEPARTMENT
Team Members : PAKALA PRAHASIT REDDY, Y PRASHEELA, AVULA UDAY KUMAR REDDY
Abstract : Fake news has turned out to be a menace. Information preciseness on Internet, especially on social media, is an increasingly important concern. Even recent political events have led to an increase in the popularity and spread of fake news. As demonstrated by the widespread effects of the large onset of fake news, humans are inconsistent if not outright poor detectors of fake news. With this, efforts have been made to automate the process of fake news detection. The most popular of such attempts include “blacklists” of sources and authors that are unreliable. While these tools are useful, in order to create a more complete end to end solution, we need to account for more difficult cases where reliable sources and authors release fake news. As such, the goal of this project is to create a tool for detecting the language patterns that characterize fake and real news through the use of machine learning and natural language processing techniques. The results of this project demonstrate the ability for machine learning to be useful in this task. We ought to built a model that catches many intuitive indications of real and fake news that aids in the visualization of the classification decision.
Project Title : CRICKET SCORE PREDICTOR
Project Id : 17MINI-A2
Guide Details : Dr. H. Venkateswara Reddy, Professor
Team Members : A.SAKETH, S.PRANEETH REDDY, AAKASH MAHINDREKAR
Abstract : Cricket (IPL) Score Predictor is a Machine Learning Web App created with Flask, deployed on Heroku platform. Growing up as sports enthusiasts, we were always so curious to know with how many runs our favorite team would end up given a particular situation in the match. After comprehending machine learning and with the enormous data we have today, we realized that we can actually do it. We are building a model to predict the score (in terms of range) for any IPL match at the end of twenty overs taking the batting team, bowling team, overs bowled, venue, runs scored and wickets taken until a particular situation as inputs along with the runs scored and wickets taken in the last 5 overs to bring momentum into consideration because of the unpredictable nature of IPL matches. Here we will take the dataset consisting of ball-to-ball information about every match of IPL from Season 1 to 10 i.e: (2008 to 2017).We will process the data using Numpy, Pandas libraries, visualize it using Matplotlib and Seaborn. We will experiment with various machine learning algorithms like Linear regression, Decision tree regression, Random forest regression to find the optimal one using some parameters and also use Adaptive Boosting Algorithm. Finally, we would predict the score at the end of twenty overs. We will create web-app using Flask framework and deploy it on Heroku platform.
Project Title : Mini toolbox
Project Id : 17MINI-A3
Guide Details : Dr. D. Raman, Professor
Team Members : Neerukonda Puneeth, A. Vishal, T. Pavan kumar
Abstract : We are going to develop software that has many small tools integrated into it. It is very useful to developers as well as normal users. This software is developed using Python Framework called Tkinter. We are also using SQLite to store data. Some of the tools in this software are Password Generator and Password Manager.
Project Title : Prediction of epidemic outbreaks using social media data
Project Id : 17MINI-A4
Guide Details : Dr. M.A JABBAR, Professor
Team Members : P.SAI TEJA SHASHANK, A.VAIBHAVI, J.VAISHNAVI
Abstract : Epidemic diseases are the contagious diseases that are possible to be spread into the entire nation if the contagion measurement had reached the outbreak level and manage to wipe out the entire population [1-3]. There are some famous epidemic outbreaks that were occurred in the entire world e.g. dengue, yellow fever, cholera, diphtheria, influenza, bird flu and several others. This contagious disease had caused critical world health issues and was assumed to be one of the main factors that had caused the 43% of life lost globally. India also had experienced some of the epidemic diseases outbreak such as dengue, hepatitis, chikungunya and many more. Diphtheria may cause the inflammation of the nerves, paralysis and bleeding problem to the host[4]. The transmission usually happened via direct contact and contaminated air. However, this disease also was believed had been causing by the irregular of vaccination. These factors may contribute towards disease’s identification, detection, prediction and controlling via features classification. However, due to the involvement of integration between the features, the features’ clustering method was introduced and had caused the weight adjustment on the input. This features’clustering method may result in the less accurate and approximate detection and prediction on the epidemic disease. Hence, the study of finding the optimal result of the integration of clustered features was introduced via the backpropagation method that able to identify and correlate the factors that have an impact on the epidemic disease dissemination[5-6]. In this work, we propose a predictive model to predict the status of the epidemic in the specific region. For the experimental purpose, we collect the data from EHR (Electronic Health Record) as well as from the social media such as Twitter and Facebook.
Project Title : LIVER DISEASE PREDICTION USING MACHINE LEARNING
Project Id : 17MINI-A5
Guide Details : Dr. S. NAGESWARA RAO ,Associate Professor
Team Members : MATAM VAISHNAVI,
GOURU LAKSHMI PRATYUSHA ,
M.NARESH BABU.
Abstract : Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. Diagnosis of liver disease at a preliminary stage is important for better treatment. It is a very challenging task for medical researchers to predict the disease in the early stages owing to subtle symptoms. Often the symptoms become apparent when it is too late. To overcome this issue, this project aims to improve liver disease diagnosis using machine learning approaches. The main objective of this research is to use classification algorithms to identify the liver patients from healthy individuals. This project also aims to compare the classification algorithms based on their performance factors.
Project Title : FUELUP
Project Id : 17MINI-A6
Guide Details : V.LOKESHWARI, ASSISTANT PROFESSOR
Team Members : Kancherla.Jeevika
K.Sai Rohith Reddy
A.Pranith Varma
Abstract : This project addresses the issue of break down of vehicles midway due to fuel insufficiency. Many people traveling in and around the cities and other places are facing problems with insufficient fuel when they miss the chance of refueling before the vehicle breaks down. Some times there is no enough fuel in the vehicle to reach the nearest fuel station. This leads them into difficult situations. The aim of this project is to find a solution for this problem.
Project Title : IMAGE CAPTION GENERATOR
Project Id : 17MINI-A7
Guide Details : Dr.ASHWANI KUMAR, Associate Professor, Department of CSE.
Team Members : APOORVA,SUMANTH,VINAY
Abstract : Image Caption Generation has always been a study of great interest to the researchers in the Artificial Intelligence department.
Being able to program a machine to accurately describe an image or an environment like an average human has major applications in the field of robotic vision, business and many more.
This has been a challenging task in the field of artificial intelligence throughout the years.
We will be implementing the caption generator using CNN (Convolutional Neural Networks) and LSTM (Long short term memory). The image features will be extracted from Xception which is a CNN model trained on the imagenet dataset and then we feed the features into the LSTM model which will be responsible for generating the image captions.
So, to make our image caption generator model, we will be merging these architectures. It is also called a CNN-RNN model.
CNN is used for extracting features from the image. We will use the pre-trained model Xception which is trained on Imagenet Dataset.
LSTM will use the information from CNN to help generate a description of the image.
Project Title : PALISADE
Project Id : 17MINI-A8
Guide Details : Dr.shitharth(assistant professor)
Team Members : nithin katla(17881A0519),
Goutham kumar(17881A0508),
Rohith raj(17881A0529)
Abstract : Our project is about create a social platform to share posts and like a given post and comment on post of users.It helps us in sharing things related to jobs,info,entertainment etc.This application is built using MERN stack which is boom tech in market.we are also thinking to add chat room to our application by which we are able to join a room and chat with users.our platform will be very easy to understand and use for users.In our daily life we see different things and get experienced of it such that,we can share our experiences in posts in our application.
Project Title : PRODUCT RECOMMENDATION SYSTEM
Project Id : 17MINI-A9
Guide Details : Vivek Kulkarni , Assistant Professor
Team Members : Kuthuru Kamala Reddy
Meesala Sridhar
Nanam Vaishnavi
Abstract : Main idea of recommender system was defined from the perspective of E-commerce as a tool that helps users search through records of knowledge which is related to users interest and preference. It is defined as a means of assisting and augmenting the social process of using recommendations of others to make choices when there is no sufficient personal knowledge or experience of the alternatives.
Project Title : CONTEXT AWARE IMAGE RETRIEVAL USING NLP AND WEBSCRAPING
Project Id : 17MINI-A10
Guide Details : Mr. A Bhanu Prasad, Assistant Professor
Team Members : THIPIREDDY VAISHNAVI-17881A0554
BOLISETTI SRRICHARAN-17881A0548
SRIRAMULA SHASHI KUMAR-17881A0544
Abstract : In Digital Image Processing research, context-based image retrieval is one of the most significant research fields as this is latest and fastest method for retrieving the useful images. An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. This can be used for real time image retrieval in a fast and efficient way. In this we web scrape the Wikipedia pages over 2 levels and create a database that consists of the context aware images. The tools such as Beautiful Soup(bs4), Google cloud computing services, Jupyter notebook, python, Stanfordnlp, are used in implementing this project. Initially we scrape the Wikipedia over two levels, and this can also be made on a high scale by scraping up to infinite levels based on the time and availability of resources. Automatic Annotation using Keyword Extraction from Web for Auto-Categorization of Images is done. In this project we create a large database in MySQL, query the images and view the images with relevant tags. We Use techniques of NLP and web crawling to extract characterizing text for images from relevant web pages. We can efficiently annotate tags to over 1 million images from standardized websites with an accuracy of more than 90%.
Project Title : NewsPaper Sentimental Analysis
Project Id : 17MINI-A11
Guide Details : MR.S K PRASHANTH ,ASSISTANT PROFESSOR
Team Members : 17881A0518-YALAKA NEHA REDDY
17881A0516-INDUKURI MOHIT
17881A0530-LAKKIREDDY ROHITHREDDY
Abstract : Modern technological era has reshaped traditional lifestyle in several domains. The medium of publishing news and events has become faster with the advancement of Information Technology (IT). IT has also been flooded with immense amounts of data, which is being published every minute of every day, by millions of users, in the shape of comments, blogs, news sharing through blogs, social media micro-blogging websites and many more. Manual traversal of such huge data is a challenging job; thus, sophisticated methods are acquired to perform this task automatically and efficiently.
Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis technique.
News reports events that comprise of emotions – good, bad, neutral. Sentiment analysis is utilized to investigate human emotions (i.e., sentiments) present in textual information. Sentiment analysis can be done on document level, sentence level, word level or phrase level. This project explores sentiment analysis on the document level. The results of this project is to demonstrate the ability of Natural language processing in text analyis to predict the tone of the Newspaper/Article. So,We ought to built a model that identifies the sentiment of the Newspaper/Article.
The goal of this project is to create a tool to identify the sentiment of the News/Article.
Project Title : BRINGLIGHTIFY
Project Id : 17MINI-A12
Guide Details : Mr. S. Venu Gopal, Assistant Professor
Team Members : Shashi C. Shirupa
A. Rishitha
G. Yogendar
Abstract : Requirement for solution: • NYKS has 623 district offices and 29 state offices across the country. • NYKS needs software by which NYKS may take the attendance of the officers working in these districts and States. Now a day, attendance monitoring and working hour calculation is very essential for almost every institution or organization.
Manual system involves the use of sheets of paper or books in taking attendance where employees fill out and managers oversee for accuracy. This method could be erroneous because sheets could be lost or damaged.
Also, the extraction of relevant data and the manual computation of working time is very time consuming. It takes an extra employee to check for the attendance and timing of other employees which includes cost overhead for the organization as well.
The Mobile should collect the attendance based on the location of the officer through GPS system / Geo-Location System.
Project Title : EXPLORING COMPRESSION IMPACT ON FACE DETECTION USING OPEN CV
Project Id : 17MINI-A13
Guide Details : Mr. C. Satya Kumar , Assistant Professor , Department of Computer Science and Engineering , c.satyakumar@vardhaman.org
Team Members : Mallellu Sai Prashanth, T NITISH REDDY, A Prashanth Reddy
Abstract : The growing interest in computer vision of the past years. Recognition has transcended from an different to a popular area of research in computer vision and one of the better and successful applications of image analysis and algorithm. Because of general curiosity and interest in the matter, The system will create an application that would allow user access to a particular machine based on an in-depth analysis of a person’s facial features. This application will be developed using OpenCV and Python. By apply face detection algorithm, which detects the presence and location of a face in an image, but does not identify it. Like too extract the feature that shows each face in an image. face alignment has been demonstrated to increase face recognition accuracy in some pipelines
Project Title : DIABETES PREDICTION USING PIMA DATASET
Project Id : 17MINI-A14
Guide Details : MS. S. SHOBA RANI, Assistant professor
Team Members : G.Jaya Teja, P. Mounika, Sai Rakesh Vavilala
Abstract : Diabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy and other disorders. All over the world millions of people are affected by this disease. Early detection of diabetes is very important to maintain a healthy life. This disease is a reason of global concern as the cases of diabetes are rising rapidly. Machine learning (ML) is a computational method for automatic learning from experience and improves the performance to make more accurate predictions. We have developed a system using Machine learning which has the ability to predict whether the patient has diabetes or not. Furthermore, predicting the disease early leads to treating the patients before it becomes critical. Data mining along with Machine learning has the ability to extract hidden knowledge from a huge amount of diabetes-related data. Logistic regression Model in Machine Learning helps us with a greater accuracy in prediction.
Project Title : PREDICTING THE COVID-19 PREVALENCE RATE USING DATA MINING
Project Id : 17MINI-A15
Guide Details : MS. T. Jagadeeswari , Assistant Professor
Team Members : KATPALLY ANANYA REDDY, MANTHRAMURTHY SAMHITHA, SUNKIREDDY AAKANKSHA REDDY
Abstract : Covid-19 a novel strain of the coronavirus, started as a rare respiratory illness. The World Health Organization declared the coronavirus a global pandemic which threatens the lives of people. In this present situation, we are unable to predict the difference between corona or common-flu. Therefore as a part of our contribution, this project helps a person showing symptoms cold, fever, etc. to predict whether he is possibly covid-19 positive or negative.
As local and international authorities continue to contain the outbreak, incorporating data and technology into the day-to-day decision-making would not only be shrewd but also highly effective. The main objective of this project helps a person to pre-analyze his situation before visiting a hospital. We propose covid-19 online predictor where a person can input his symptoms; it predicts the outcome (result) using data science, machine learning models.
Project Title : STUDENT ATTENDANCE BY FACE RECOGNITION
Project Id : 17MINI-A16
Guide Details : Dr. K. Ramu, Associate Professor, Dept.of CSE
Team Members : Prem Sharma, Simran Shaik, Bochu Dhanraj
Abstract : As the world with each passing day is transforming into an automated place, we are all looking for different ways to make our regular, manual and time-consuming tasks automated, to rather focus on comparitively more important things. Taking attendance for each class is one such task. The model that will be generated will first detect the face in the image. For detection, the image will be converted from RGB to Grayscale because it is easier to detect an image in grayscale. Haar-Like features algorithm will be applied on the image which will detect the face and then a rectangle can be drawn along the borders of the face. The API will take sixty such images of a new face and store the face along with its id and name in a CSV file. Then, these images will be fed to the opencv face recognizer which will generate a YML file and will be able to recognize the face the next time it appears. The list of the students of a class with their attendance will be available to the faculty members at the click of a button. For a student to get recognized, needs to simply click on the ‘get recognized’ button in the API and a message will be displayed implying that their attendance has been recorded for the day. The standalone GUI of the project will be made using Tkinter which is an in-built python module.
Project Title : BIKE ASSISTANT
Project Id : 17MINI-A17
Guide Details : Mr. Pallati Narsimhulu , Assistant Professor
Team Members : V Uday Teja ,
P Sai Vardhan Reddy ,
K Santosh Kumar
Abstract : • Due to hectic schedule and immense work pressure many people most often forget to get their motorcycles serviced regularly. To help them, we came up with a solution by sending them a reminder about the motorcycle service . All this can be done on online. The main idea of this project is to help the users to get reminded about their motorcycle services.
These services include two types:
(i) Regular bike service and component check up reminder.
(ii) RTA Pollution check reminder.
This application there by helps the users by timely scheduling bike checks and pollution checks, so that they can be done in due time.
Our application helps the user get timely notifications about their motorcycles serviced and get government approved pollution check.
This way we can help the motorcycles to be stable and there is a hope that they don’t release excessive pollution which helps us in reducing the increasing pollution concerns.
Project Title : INFLUENZA
Project Id : 17MINI-A18
Guide Details : Mr.M.Ananda Ranjith Kumar , Assistant Professor
Team Members : K.SANDEEP SHANDILYA
PEETHANI SRIKANTH
SIRIGIRI SAI DIVYA
Abstract : Our project is based on a website that helps the user predict the disease based on his/her symptoms. Helps the user to know about their health status and be confident about their health .It is a basic platform where user can input the symptoms and expect the algorithm to predict their disease.The Proposed system uses naïve Bayyes and random forest algorithms to get the highest accuracy.In the end of the analysis our model provides which specialized doctor to consult.
Project Title : True Face Detection
Project Id : 17MINI-A19
Guide Details : MS.V.UMA MAHESHWARI, ASSISTANT PROFESSOR, Department of CSE
Team Members : Mohammed Owais Ahmed
Adusumilli Vishnu Chandra
Nazneen Sulthana
Abstract : Face recognition system is a technology capable of identifying or verifying the identity of an individual using their face. With the rapid increase in the usage of facial recognition technology, the threats of presentation attack also increase. The main idea of the project is to detect the given face as a true face or a spotting fake face.
Project Title : USER RATING AND REVIEW BASED FRAUD APPS DETECTION FROM GOOGLE PLAY STORE USING SENTIMENTAL ANALYSIS
Project Id : 17MINI-A20
Guide Details : RAMESH SIR-ASSISTANT PROFESSOR
Team Members : SHAIK MANZUR ELAHI
PURRAM MOHAN KUMA
SILASAGARAM ACHYUTH KUMAR
Abstract : The mobile industry is developing rapidly therefore the numbers of mobile applications are increasing day by day in the market. As there are many apps available in market users are in fuzzy state while downloading the apps for their use. Hence it is a need to keep track and develop a system to make sure the apps present are genuine or not. The objective is to develop a system in detecting fraud apps before the user downloads by User Ratings and Reviews analysis with Naive Bayes algorithm. So we are proposing a system which will process the information, ratings and three reviews of the application with Naive Bayes algorithm to give results. So it will be easier to decide fraud application.
Project Title : PERMISSION FORM GENERATOR
Project Id : 17MINI-B1
Guide Details : DR. D. RAMAN,Professor
Team Members : CHALAMALLA AKHIL REDDY,TAMMANA AMRUTHA,BANDA ARUN KUMAR
Abstract : This project aims to reduce the fraud in permission letters during the events. To eliminate this problem, we will create a website through which permissions can be requested to the correspondent in-charge person. So, that student can apply permission through online using students ID and their selected events. The head office will decide the students who are eligible for the event and create a permission letter and accepting/rejecting will be based on their performance in academics. Sports department will have updated notification about permission form in their page. Students cannot do fraud in attendance since it is virtual form.
Project Title : SALES PREDICTION USING LINEAR REGRESSION
Project Id : 17MINI-B2
Guide Details : DR. M. AKHIL JABBAR
Team Members : “N.BALA VICKY
M. LAKSHMI REDDY
G.GOWTHAM REDDY”
Abstract : A sales analysis report shows the trends that occur in a company’s sales volume over time. In its most basic form, a sales analysis report shows whether sales are increasing or declining. At any time during the fiscal year, sales managers may analyze the trends in the report to determine the best course of action. Managers often use sales analysis reports to identify market opportunities and areas where they could increase volume. For instance, a customer may show a history of increased sales during certain periods. This data can be used to ask for additional business during these peak periods. A sales analysis report shows a company’s actual sales for a specified period a quarter, a year, or any time frame that managers feel is significant. In larger corporations, sales analysis reports may only contain data for a subsidiary, division, or region.
Project Title : HEALTH DIET RECOMMENDATION FOR COMMON MAN (COVID)
Project Id : 17MINI-B3
Guide Details : Dr.S.Nageswara Rao,Associate Professor
Team Members : Cheruku Deeksha, Chiluka Akhila, Sirge Mahender, Nallawar Sanket
Abstract : As the number of COVID Cases is increasing exponentially these days it has been a necessity to have highly protein, nutritious food. Prevention is better than cure! Nutritious food can help one to improve their immune system which would be a great help in this pandemic times. There is a high chance that people may not have access to the recommended recipes provided by the officials and medicals. Hence we wanted to reduce the bridge by providing a platform addressing the above issue. We shall provide the list of recommended recipes to prepare them. In case if a person faces a shortage of the cooking material we also provide a way to order them online and delivered at their doorstep eventually reducing the chances of a person to step outside. Recommendations are done through an intelligent algorithm in backend. We also create awareness among the people on how healthy diet is important for every individual to avoid any infection (in present situation COVID) making way for infection less Society.
Project Title : IMAGE STEGANOGRAPHY USING PYTHON
Project Id : 17MINI-B4
Guide Details : LOKESHWARI ASSOICIATE PREOFESSOR
Team Members : SNEHA
ESHWAR
MAHENDRA
Abstract : Data hiding is the art of hiding data for various purposes such as; to maintain private data,
secure confidential data and so on. Securely exchange the data over the internet network is
very important issue. So, in order to transfer the data securely to the destination, there are
many approaches like cryptography and steganography. In this project we propose a LSB
steganographic method for hiding the data by applying Least Significant Bit using 7 bit pixel
(LSB) algorithm for embedding the data into the images which is implemented through
PYTHON
Project Title : URL SHORTENER
Project Id : 17MINI-B5
Guide Details : Dr. Ashwani Kumar , Associate Professor
Team Members : P.Kranthi Kumar , P.Nikhil Kumar Reddy , S.Shivani Reddy
Abstract : URLs can get long, unattractive, and break when shared on online platforms. To shorten an Internet address, we proposed a secure URL shortening service which will take a long URL and create a shorter URL that will not break
while we share it.This application will be developed using softwares like python,flask,SQLAlchemey .
The algorithm used for url shortening is base62 which takes the unique id and generates a string which can be appended to the shortened new url,we will also be tracking the number of clicks made to the url.
A short URL to access Web page tops the list of advantages, but it can also help with keeping links intact in email or text messages and it can be useful for search engine optimization.
As a result the proposed secure URL shortening service will give the user more trust to use the service with security, availability, and confidentiality consideration as compared to the available used services .
Project Title : ONLINE AUCTION WEBSITE
Project Id : 17MINI-B6
Guide Details : DR. S. SHITHARTH, ASSISTANT PROFESSOR
Team Members : LANKA LAASYA,MOHAMMED REHAAN,DONTHU SHASHI KUMAR
Abstract : With the onset on COVID-19 in the month of Dec,2019, the market has seen an extreme downfall due to the general fear of spread in the peoples minds and also the government initiatives like the nationwide lockdown. As the COVID-19 virus is a novel virus, many problems and uncertainties have come up with tackling it. Due to this nature of the virus, even after the opening up of the market in a few months, many will be skeptical to come out of their homes especially for practices like shopping.
The online market inclusive of companies like Amazon, Flipkart, Snapdeal, Bigbasket etc has boomed when it comes to its sales, as customers prefer to shop for their requirements online.
Joining in on this trend of online shopping we are aiming to create an Online Auction Website, called “ THE AUCTIONEERS”.
This website aims to create the same online market but with bidding practices. So the customers will be able to place their bids on products they desire, and will be sold the product if their bid is the highest at the end of the deadline. The results for the auctions will be announced at the end of each auction deadline and the buyers with the highest bids will be notified on their user pages. Also the sellers will be able to place a minimum bid on their products for upcoming auctions. The item will be delivered to the buyers house within 15 days of confirmation while following all safety precautions mandatory.
Also keeping in mind the security and quality checks of the products put up for auction,certain actions including authentication of sellers identity and the standard checking of products will be done by means of Aadhar card details and a standard check questionnaire.
Project Title : Leaf Disease Detection using CNN
Project Id : 17MINI-B7
Guide Details : Mr. S K Prashanth. , Associate professor
Team Members : Ch. Lakshmi Sushritha
P. Sai Nithin
B. Sandeep
Abstract : In countries like India, whose primary occupation is agriculture
faces a huge loss when the crops get affected by any disease. These
diseases attack the crops in various stages and destroy the entire
production. Since most of the diseases are transmitted from one crop to
other there is much need to detect the exact type of disease the crop has
been affected so that farmers can take the required steps to the “save the
crops” and production. But detecting the kind of disease that a crop has
been affected is very difficult to farmers since there are various kinds of
diseases. Detecting the type of plant disease can be done accurately when
all the diseases related to a plant or a crop is known and to carry this type
of data is really a difficult task for a farmer. This problem can be solved
using our model which uses the photo of plant leaf and detects whether
the plant is healthy or not. If the plant is unhealthy then this model also
shows what kind of disease that attacked the plant. So, that the farmers
can take necessary precautions.
Project Title : HOUSE PRICE PREDICTION
Project Id : 17MINI-B8
Guide Details : MS. S. SHOBA RANI,ASSITANT PROFESSOR
Team Members : 17881A0580-DEVARAPALLI MANASA REDDY,17881A0599-KUNCHAKURI SAITEJA ,17881A05A4-KANDE SATHYA
Abstract : House prices increase every year, so there is a need for a system to predict house prices in the
future. House price prediction can help the developer determine the selling price of a house
and can help the customer to arrange the right time to purchase a house. There are three
factors that influence the price of a house which include physical conditions, concept and
location etc. Usually, House price index represents the summarized price changes of residential
housing. While for a single family house price prediction, it needs more accurate method based
on location, house type, size, build year, local amenities, and some other factors which could
affect house demand and supply. With limited dataset and data features, a practical and
composite data pre-processing, creative feature engineering method is examined .
Project Title : TYPE RACER
Project Id : 17MINI-B9
Guide Details : Dr. K. Ramu-Associate professor
Team Members : D. Meghana
K. Sai ghrushmala
Shashikanth
Abstract : A Typeracer is a typing test game which is designed to find how fast one types in a given amount of time to score points. We will be designing a typing game using JavaScript that presents a simple typing challenge and finds the performance of an individual. The game shows a series of words that have to be typed in a specified time limit, as fast as possible. We will create the HTML layout first, style it using CSS and then write the logic in JavaScript.
Project Title : Commodity Price Tracker
Project Id : 17MINI-B10
Guide Details : Mr. B. Suresh, Assistant Professor
Team Members : Rishvik, Hemanth, Sravani
Abstract : MAIN IDEA OF PROJECT:
. Track prices of commodities
Our project is mobile application which displays eal time prices of commodities like gold, silver,
petrol, diesel, LPG, etc. These prices are updated regularly in order to display real time data which we be useful for the people to track and invest in these commodities.

Existing system:
• Does not provide all prices of different regions at one place
• Not accurate
• High difference from site to site
Proposed system:
• Provide all prices of different regions at one place
• Accurate
• User friendly
Proposed Project Objectives:
• Run script in cloud using cloud functions technology to extract data from trusted public websites
• Storing extracted data from cloud functions into a cloud database
• Creating a rest API to transfer data between the application and cloud database
• Creating a user interface using XML
• Writing the backend code and then coupling with the user interface

Project Title : GATED COMMUNITY MANAGEMENT SYSTEM
Project Id : 17MINI-B11
Guide Details : B. SURESH KUMAR , Assistant Professor
Team Members : B.PAVAN CHANDRA
E.SHREYA REDDY
L.RISHI PREETHAM
Abstract : The main aim of this project is to create a web application which maintains the Database and the information about various services which can be useful for various gated way communities. Vast information is maintained in this system so as to provide all the details of services.
A website that simplifies life for everyone in a gated community, from residents and management committee members to security guards and facility managers
The existing records were manually managed by the resources of the community. It was a huge task as they had to maintain a large database of customers who have bought the flats long with their dates, amount paid etc. They also had to manage the data related to the maintenance activities of all the flat owners. lt required lot time and resources. There was no way to find easily where the customer payed or not.The user had to manually search for all the records pertaining to catch apartment and then prepare a report of all the outstanding payments.
Project Title : Interactive case management system
Project Id : 17MINI-B12
Guide Details : Mr Kumar Baradur, Assistant professor
Team Members : Itikyala Pranav
Naini Rakesh
Kalakuntla Sreeja
Abstract : 1.Interactive case management is a web application it is used to provide online interaction to both client and lawyer through our website. client can choose lawyers based on the case.We came across software solution for smart and efficient judiciary interactive system. That covers
1.facility for presentation to all attendees.
2.facilities for discussing between judiciary panel.
Client and lawyer can access our website by registering to our website.
Client and lawyer can also do videocalls and can also transfer files using our website.
2.Thus this web application provides online case management system , who can access from remote locations.
At this pandemic period of time interacting lawyer via online is more helpful for clients.
3.Client can interact lawyer at any time and discuss about the case it saves both money and time so it is also cost effective system.
4.It has the following features:
Security
Flexibility
Portability
Search Options
Robustness
Project Title : HYBRID ENCRYPTION FOR BIG DATA IN CLOUD
Project Id : 17MINI-B13
Guide Details : Mr. Shrawan Kumar, Assistant Professor
Team Members : Madiraju Pranay Kashyap, Baddam Radhika, Rolla Varun Goud
Abstract : The cloud is a cutting-edge stage that conveys virtualization, dynamic asset pools and high accessibility and widely used in industry and research as Cloud computing and big data have provided easy solution for storing and processing complex data. But the threat to data security in cloud has become a great concern. It is required to secure all type of data. In order to get rid of these, an assortment of mechanisms and encryption algorithms are utilized in various blends. We know that classic encryption schemes have long been used for security purposes and they have been successful to some extent.
On the comparable terms, we made utilization of hybrid encryption with the utilization of cross-breed cryptographic calculations to upgrade the security of information on cloud. In view of various execution
constraints to reason a hybrid calculation which can anchor information more effectively on cloud. So why use hybrid system. The basic answer is security. Basically, what hybrid cryptography does is that it mixes the effectiveness of symmetric encryption with easiness of encryption. It enhances security level and encryption efficiency. It has many advantages. Firstly, it enables user to communicate through hybrid cryptography. Some may think asymmetric scheme will hinder speed of encryption but that is not the case. Simultaneously using symmetric scheme, it increases efficiency of system as well as It provides better security.
Techniques like DES, 3DES, AES, RSA, RC4 and many others have proven to be a success in hiding the data and securing it. Everything is prone to attack and so are they. Every individual encryption technique is known to be attack prone due to increase in computational power days. Any new technique which will be developed will be known to attacks but to increase security and efficiency hybrid encryption is used. Hybrid encryption provides efficiency. Here in this project we incorporated AES and 3-DES techniques to implement Hybrid Encryption.
Project Title : Detecting text and digits from the image
Project Id : 17MINI-B14
Guide Details : Mr.K.Kotaiah Swamy , Assistant professor
Team Members : Akuthota Rakesh
Neha Reddy Marri
Ireddy Vignesh Reddy
Abstract : Todays Modern world became so much fraudulous things being done by the people.in order to stop this government has provided several id’s for us such as aadhar card,bike number plate,pan card etc.,because of this when a police found his or her id the fraudulent can be found easily.this has changes the behaviour of the police and it has tended to more frauds by taking the curreption. In order to eradicate this problem the present society is working with image to text conversions.in the traffic if we fix a camera ,from that camera we can get the bike ids of the persons who are not obeying the rules.so that from the database we can get the user details.
The goal of this project is to create a tool to identify the frauds from the cameras by getting their ids.
Project Title : DONATION MANAGEMENY SYSTEM
Project Id : 17MINI-B15
Guide Details : V.VIJAY BHASKAR REDDY ,Associate professor
Team Members : “HARSHITHA KARNATI,
P.SAI SHIVANI,
P. VIJAYA LAKSHMI”
Abstract : Our project is mainly focused to provide the services to the needy through single portal and make the donation process easy. In blood donation the donor can easily reach the needy through the consent of the admin. In the other kinds of donations like organs it mainly collects the donations of the donors and deliver them to the respective organizations and provide the information to the respective volunteers of that organization to maintain transparency.
In the present-day scenario though there are many donors, their donations are unable to reach the needy at the right time or due to third parties the cases such as blood donation and organ donation, fun donation, household items or any other.
In this we maintain blood and essential organ donations to the needy under single portal and providing donations to needy as per their requirements. The main aim is collecting the donations and delivering them to the respective organizations and also provide the information to volunteers of that organization to maintain transparency.
Project Title : AGRARIAN- COOL RANCHER
Project Id : 17MINI-B16
Guide Details : Mr.V.N.L.N Murthy, ASSITANT PROFESSOR
Team Members : 17881A05A3 AVULA SARIKA
17881A0572 ATTULURI HARSHA VARDHAN
17881A05C0 MARGAM VIVEK
Abstract : A major problem that farmers face in agriculture is finding the cold storages in their locality.
This project aims to create a web application to provide information about cold storages that includes the capacity of storage left and type of crop that they can store.The farmers can directly request owners and get reserved.Farmers no need to bargain and can have fixed and transparent costs.To have a scalable website we use Django framework which uses html, CSS in the frontend for user-friendly interface. Django based backend. And sqllite based database.
Project Title : PREDICT THE POPULARITY OF ARTICLES
Project Id : 17MINI-B17
Guide Details : Mr. V N L N MURTHY, Assistant Professor, Department of CSE
Team Members : D.Sriharsha, B.Gopi, A.Naveen chary
Abstract : MASHABLE.COM is a global, multi-platform media and entertainment company. Powered by its own proprietary technology, MASHABLE.COM is the go-to source for tech, digital culture and entertainment content for its dedicated and influential audience around the globe.
Just like any other media company MASHABLE.COM’s success depends on the popularity of a
Project Title : Smart Restaurant Interface
Project Id : 17MINI-B18
Guide Details : M.Y.Babu,Assistant Professor
Team Members : Akshay Golkonda, Brahmadevara Subramanyam, Kethavath Naresh
Abstract : This project aims to reduce the workforce required in restaurants and hotels.
To eliminate this problem, we create an Application so that customers can book their tables beforehand and also order food through the application. The available items menu will be displayed in the application. Customers can choose their choice and quantity required. Items which have ran out of stock or addition of new items can be updated in the menu spontaneously. Order misplacing can be avoided drastically. Chefs will have updated notification about orders from their screens.
We are doing this project to improve the work efficiency in a restaurant with the help of modern technology.
Project Title : Crime Investigation Portal
Project Id : 17MINI-B19
Guide Details : THIMMAPURAM MADHURI
Team Members : A.SUMAJA REDDY MORE PAVAN KALYAN YATHAKULA ALEKYA
Abstract : The aim of Online Crime management and reporting System will be to create a web based program using which people are able to report crime online. It provides facility for reporting online crimes, complaints, missing persons, show most wanted criminals, and safety tips for awareness of the people. It also gives the facility of uploading videos or images of crime scenes to ensure that authorities can take action immediately.
Any Number of clients can connect to the server. Each user first makes their login to sever to show their availability. The server can be any Web Server. The Online Crime Report project is to provide all crime management solutions which are easily accessible to everyone.
The Crime application starts with the common people who want to log a complaint through the website so it can be very useful for police department to find out the problem in the society without people are coming to the police station every time.
Project Title : FACE MASK DETECTION
Project Id : 17MINI-B20
Guide Details : Ms.Thimmapuram Madhuri, Assistant Professor
Team Members : K.Trisha Reddy
Paltya Anil Naik
K.Samyuktha
Abstract : The Mask Detection app will detect whether the person is wearing a mask or not.
During the days of COVID its very difficult for anyone to step out without mask and there will be places where no one to check, does he/she wearing a mask.
At that times the monitoring systems in any of the public places like malls,theater etc will detect the person. If he/she is not wearing the mask it will alert the person and will not be entered into the place and remainds to wear mask.
This application will be useful during COVID times,helps in rescuing oneself
Project Title : GAMIFIED QUIZ
Project Id : 17MINI-C1
Guide Details : Dr.RAJANIKANTH ALUVALU ,Head Of The Department
Team Members : AKKEM ABHINAV YADAV,GOLLA BHARADWAJ SAI,PATLOLLA INDRA CHARAN REDDY
Abstract : Gamified learning integrates game mechanics into the process of learning. Examples of game mechanics are (high) scores, levels, achievements, immediate feedback loops, and time pressure. These elements are what make a game a game, and if applied correctly they make it fun to play the game. Our current technology enables educators to implement game dynamics in their work. For example, creating a quiz app for students.
A common feeling among teenage students is that they are not learning for themselves but “because they have to”. This is due to a lack of feeling of autonomy and is difficult to solve completely, but applying gamification in education can help.
So we propose an online quiz application with the gamification elements to make conducting quizzes and writing quizzes more interactive and fun. This provides a competitive platform, where a student not only judges their knowledge/skill but they also can improve their knowledge and skill at the same time.
Project Title : A WEB SCRAPER FOR ANALYSIS OF CUSTOMIZED DATA
Project Id : 17MINI-C2
Guide Details : M.A.RANJIT KUMAR (ASSISTANT PROFESSOR)
Team Members : K.Adithya Reddy
R.Aditya Vardhan
CH.Namrath
Abstract : Web scraping,Web Data Extraction or Web Harvesting is data scraping used for extracting data from websites. The implementation of Web Scraping has a lot of confusion because some websites do not allow certain kinds of data mining. Web scraping is a popular way of collecting information as these kinds of aggregated data resources become more capable.As we know the data in most of the websites are in unstructured format,while using web scraping the required data can be converted to structured format.There are different ways to scrape the data from websites such as online Services, APIs or writing your own code.
To grasp web scraping, it’s important to first understand that web pages are built with text-based mark-up languages- the most common being HTML. A mark-up language defines the structure of a website’s content. Since there are universal components and tags of mark-up languages, this makes it much easier for web scrapers to pull the information it needs.
The first step of any web scraping program is to request the target website for the contents of a specified URL. The information is usually returned to the scraper in HTML format. Which is the file type used to display all the textual information of a website. We need to select which fields need to be extracted,so as to move to inspect code of the website and to select the names of different tags like ‘div’. Then,the code is to be implemented with different modules of python like BeautifulSoup,Python Requests,Pandas. After the implementation of the code, as we run it, then the data is usually extracted. After extracting the data, we might want to store it in a format. This format varies depending on our requirements. The extracted data is to be stored in a database for future references and also to represent visual implementations like bar graph,pie chart,scatter plot etc.
Project Title : CALORIE MANAGER
Project Id : 17MINI-C3
Guide Details : Mr.A.Ramesh , Assistant professor
Team Members : Bhuvaneshwari Gongle
Aishwarya Raj
Sindhuri
Abstract : The title of the project is calorie manager. As the name itself says it manages the calories of the food that we take.
In this project , the users have to enter the food taken by them and it will calculate the number of calories consumed by them and give them the count . This helps them to keep track on their food which intern helps them maintain their health. Now a days in this busy world many people don’t give importance to their eating habits , this web application would be really useful for them to know how much calories they are consuming. And our first bone is a registration form. I’ve tried out numerous apps for tracking food, and they all start with asking you to fill in the questionnaire. In fact, you shall not pass until the application has the fullest info about your current state. Actually, this move seems quite logical. Because this is typically what you do when you come to a live nutritionist or coach.
However, our in-app registration procedure is a bit different and includes one more action to be performed before giving an exhaustive description user’s physical condition. I mean a standard signing-up via email or social networks.
This basic web application helps them in Keeping track on their food without spending huge amounts of money on nutritionists and electronic gadgets.
Project Title : VMATE (E-LEARNING PLATFORM)
Project Id : 17MINI-C4
Guide Details : MR. G.S PRASADA REDDY, Assistant Professor
Team Members : NUNNABHATLA HARSHITA, P ANJALI, PATLOLLA VINITH
Abstract : VMATE (E-Learning Platform) provides an interface for learners, which is of great significance and practical value for the improvement of learning and teaching quality. The use of Laptops and the Internet has produced technological conditions for instructors and students who can take advantage of the diversity of online information and communication with others. This can be used by educational institutions and colleges for different learning environments, where they can have computer-mediated instruction, blended-learning, and increased possibility for better quality and quantity of human communication in a learning background.
The main idea of this project is to provide a web application which facilitates delivery of courses and training programs which are asynchronous.
The system uses MySQL, PHP, Bootstrap and other similar technologies for its development, including types of users like administrators, teachers, students.
Project Title : Motion detection & Alerting system
Project Id : 17MINI-C5
Guide Details : Murlidher Mourya
Team Members : CH. Mahesh Kumar
G. Bhageerath Chakravorthy
Durga Nagendra Akash Mallareddy
Abstract : In the era of Internet and with increasing number of people as its end users, a large number of attack categories are introduced daily. Hence, effective detection of various attacks with the help of Motion detection is an emerging trend in research these days. Existing studies show effectiveness of several approaches in handling motion detection. In this work, we aim to enhance detection rate of Motion detection by using open cv and also add a feature to alert the authority about the detection via email
Project Title : FITNESS CLUB
Project Id : 17MINI-C6
Guide Details : B. Maha Lakshmi, Assistant Professor
Team Members : TANKARY BINDU VAISHNAVI , MANDHA MOUNIKA , B SPANDHANA
Abstract : The purpose of Fitness club is to automate the existing manual work system in the gym center with the help of computerized equipment’s and full-fledged computer software, fulfilling their requirements so that their valuable data/information can be stored for a longer period with easy accessing.This also helps users to workout according to their timeslots instead of waiting for equipment’s. The organization can maintain computerized records without redundant data entries. Basically, the project describes how to manage for good performance and better services for the users and reduce manual work for users.
Project Title : ANDROID APPLICATION FOR FINANCE MANAGEMENT
Project Id : 17MINI-C7
Guide Details : D GANESH , ASSISTANT PROFESSOR
Team Members : DEEPAK SINGH THAKUR – 17881A05D5
KADUKUNTLA PHALGUNA REDDY – 17881A05E9
KANDE SWATHI – 17881A05H6
Abstract : There are many business owners who still are using physical records to maintain their transactions .This process is time consuming and also may not be accurate all the time .This application is focused to solve that problem. It eases the maintenance of all transactions .This application is mainly focused on chit fund business which involves a lot of transactions . By using our app owner of the chit fund can create chit and he can customize the chit based on his requirements. He can add members of that chit. Member of the chit also downloads the app in which he can verify his payments and details about the chit. Owner can update a member’s payment by click of a button and he can also generate due list by the end of the month without any extra effort. Owner can also send messages to the members regarding payments or push notifications .Members of the chit can also use chat option to bid online if the chits are bid based and we are also giving credit score for each user based on his payments.
Project Title : COVID19-CHATBOT
Project Id : 17MINI-C8
Guide Details : Mr K Kotaiah Swamy,Assistant Professor
Team Members : M Prathyusha,B Ganesh,P Prashanth
Abstract : The Coronavirus outbreak has major consequences for society worldwide. In times of crisis, communications systems are often overwhelmed with people trying to find basic information about statistics, latest news and other resources. When communication lines get clogged, people who need real help can’t get through. Chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. Our Chatbot allows information access through text-based interaction that is proving its worth during the coronavirus crisis. Our Chatbot gives response to thousands or even more messages per day. It plays a critical role in helping communities to quickly understand crucial information. It can also answer all the FAQ’s related to Covid19.This Chatbot shows the statistics of covid cases across worldwide, country wise and Indian states.
Project Title : AUTOMATED TIMETABLE GENERATOR
Project Id : 17MINI-C9
Guide Details : Laxmi Sunaina, Assistant professor
Team Members : R Harsha
R Sai Deeksha
S Vamshi Krishna
Abstract : Preparing a time table for an educational institution manually is a time-consuming job and also requires a lot of planning and effort. Even though most of the work in schools and colleges is automated but timetable scheduling is done manually. It takes a lot of time while considering the smallest constraints to schedule a time table and that would even increase in case of huge constraints. Many times, people tend to refer to the previous year’s timetable while making some modifications; But this too shall take a long time. Sometimes, it is very difficult to reschedule the time table within less time whenever a faculty is on leave. We can’t edit the timetable and get it reviewed whenever changes are required. Our idea is to implement a simple automatic time table generator with which the creation of the timetable is all automated, saves time, and reduces manpower to a huge extent. We take inputs like teachers, semester, no of subjects, no of periods, the priority of subject, working days; Using these inputs, the system will generate time table. Developing an automated timetable generator gives flexibility for both students and staff so that they can easily check in their mobiles or desktop whenever needed. Our idea is designed with an emphasis on the requirements of engineering colleges and can simply be extended to other institutions based on their requirements.
Project Title : DATA TRANSMISSION USING STEGANOGRAPHY
Project Id : 17MINI-C10
Guide Details : Mr. Gouse Baig Mohammad,Assistant Professor
Team Members : BENDA SAI KARTHIK-17881A05G0
SOMA HARSHITH-17881A05E0
C MAMATHA-18885A0519
Abstract : In the modern era, the security of information has become an important priority. We are regularly coming across many issues where many malicious things are being done by taking the information secretly. Steganography is one of the technique where we can secure the information while transferring from sender to receiver. There are various carrier file formats of which hiding in images is the most effective and efficient method. Also to store the secret information in images there are various techniques which have their own advantages as well as disadvantages. Our project intends to hide the information in an image and transfer securely without any attack by the third party.
Project Title : GRIEVANCE REDRESSAL SYSTEM
Project Id : 17MINI-C11
Guide Details : MR M Y BABU(Assistant Professor)
Team Members : GOURISHETTY SAIRAM, SOKKULA NITHYA, MEKALA PAWAN KRISHNA
Abstract : Grievance Redressal System is an online platform to receive and act on complaints reported by students of private or public institutions, enabling
prompt actions on any issue raised by them and to avail services more effectively.Grievance Redressal cell member deals with all types of grievances, complaints including those received from Students, Faculty and other Stakeholders.
Grievance Redressal System can be handled directly by institutes through their own websites. The smart web portal for grievance processing connects students and action-takers directly through online platform. Grievance System helps to pursue quick action for solving the grievance, while maintaining affordability and ease to the users.
A student/staff of the institution can lodge complaint through the system by registering in the website.
After successful registration of the complaint, the user will get a complaint ID for future reference.
Admin will verify the authenticity of the complaint and forward the complaint to the concerned grievance cell member who deals with the specific complaint category for attending the grievance promptly and effectively.
The Grievance cell member after proper redressal of the complaint sends reply to the complainant with supporting files, if any.
Once the complaint is resolved, petitioner will get an alert message and he/she can view reply to the grievance posted.
The complaints redressed will be shown as closed and the complainants can reopen the case if they are not satisfied with the solution or action taken on their grievance.
Project Title : MOBILE APPLICATION FOR COLLEGE BUS TRACKING
Project Id : 17MINI-C12
Guide Details : Sahithi Godavarthi Assistant Professor Department of CSE
Team Members : Lingala Rohith
Mahajan Sanjana
Kummari Mahesh
Abstract : We know that each satellite knows the exact distance from the other satellite in its proximity and GPS tracking device receives signal from the GPS satellite. GPS receiver can calculate its exact location in the ground depending on the time it takes for a signal to reach the device from each satellite. The GPS tracking device can then route that information back to an Online Tracking System for mapping.
The main aim of this Android application is to track our college buses which would give the exact location of buses with the help of Google map and help the user to plan their way and makes sure that he/she would not miss the bus. This application also helps parents no to get panic if his/her son/daughter haven’t reached home in time they can go to application and check the location of the bus. It also helps if he/she miss the actual bus then they can look for the buses which are about to reach their stop and can board so that they can go to college
Project Title : Stock Management And Estimation Tool
Project Id : 17MINI-C13
Guide Details : Mudrakola Swapna, Assistant Professor
Team Members : Konda Sharan Sai Reddy, Shaik Roshan Nabi, Chityala Raju,
Abstract : One fine day, you need to go for shopping items for your house. You have memorized the items you need and went for shopping. After shopping for a long time, when you have reached home, you found out that you have missed a lot of items which had to be purchased. You have also purchased items which you already have in your house and they might be of high price. So, to overcome these issues faced by many households, we have come up with an idea of developing an application which solves all these issues. It takes all the items needed for a particular household and keeps track of the items usage daily based on the estimation given by the user, and informs the user when the stock is low. The user can refill the items in the application with ease.Suppose, you need to go for shopping items for the next 1 month and you don’t know what items you need to buy and in how much quantity, we provide the solution with just a single click which takes into consideration the current stock you are having and suggests the accurate count of stock you need in addition along with the price. Apart from these, we also provide a reminder facility so that the user won’t forget his needs and finishes all his reminders.
Project Title : KNOW UR COLLEGE
Project Id : 17MINI-C14
Guide Details : KUMAR BADUR
Team Members : SHAIK SHOEB SAMEE
S SAI KIRAN
CHINNOLLA CHANDRAHAS
Abstract : We aim to create a chatbot capable of answering student’s queries regarding colleges.
This chatbot helps the student decide college based on his/her field of interest and also helps students determine the possible best college based upon his/her rank.
This bot uses TS EAMCET rank/score to predict student’s chances of getting admission into the best possible colleges
Chatbot equipped with an advanced algorithm that takes opening & closing ranks of previous year TS EAMCET counseling data to predict the best possible colleges you might end up landing
Chatbot narrows down colleges based on the choice of interest and his/her credentials (Rank/Caste/Certificates).
There are many websites that provide you information regarding the opening and closing ranks of a college.
But they don’t sort the colleges based on the field of interest which is done by the proposed chatbot.
Some Articles and websites provide us the sorted list of colleges based on the branches but lack the information which is required by the student to predict the college he might end up in.
This chatbot reduces the manual compilation of knowledge from multiple websites and directly gives you the sorted list that you should be applying at the time of web counseling.
Students can know what rank he should aim to get into their Desired Colleges
It predicts all possible colleges based on the previous year’s cutoff.
This chatbot gives freedom to choose Best College Based On their preferred branch/the desired filter.
Users have many filters such as Fee, transportation, accommodation, etc. to choose from.
Guide student with queries regarding his/her desired college.
Project Title : EVENT BASED COLOR PERCEPTION
Project Id : 17MINI-C15
Guide Details : Mr. Upendar Para, Assistant Professor
Team Members : S. Sai Lakshmi, D. Shailaja, B. Sindhuja
Abstract : Color Perception is the process of detecting the name of any color. Color recognition is
necessary to identify any object. For humans it is simple as light receptors present in
our eyes transmit the signal to the brain and brain recognizes the color, but for
computers, it is an extremely hard task. Previous techniques detected the color based
on overall frame, they are unable to detect color of a particular position. They have
detected dominant color in the image. In this Python project, we are going to build an
application through which you can automatically get the name of the color by clicking at
any position in the image. For this, we will be using a dataset that contains the color
name and its red, green and blue components. Colors are made up of 3 primary
components: red, green, and blue. we define each color value within a range of 0 to 255.
We are using RGB color space which is an additive color model and Euclidean distance
calculation between color components to identify color at any position on the image. We
are aiming to implement the project using OpenCV, Numpy and Pandas.
Project Title : COMMUNICATION MEDIUM AMONG STUDENTS
Project Id : 17MINI-C16
Guide Details : Praveen mallu, Assistant Professor
Team Members : Saikiran,Saiteja,Sirichandana
Abstract : Due to lack of communication all these years many have missed their college bus so that the whole day for them had been wasted . Even freshers will find difficulty to find the route of college buses so they need to communicate with other students to know the route of bus. This idea can help in such kind of situations. If a person had stuck on his way then he can find contact details of his/her nearby friend using this web application
The main aim behind this idea is to establish communication among students. Communication medium among students consists of student login and admin login. Since students login with their college mail id, no other person who are not part of college will be able to view the student details. This project is beneficial for students who have stuck in the middle of their way to destination. This system helps the students to get the contact details of other students in particular locality, so that they can communicate and sort the issue of getting stuck at a place. The admin can update the database according to requirement. Admin can have overall rights to add or delete student details or update existing student details. A student will be able to see the list of other student contact details. This system handles student details and differentiate them based on their location. This project helps the students to save their time.
Project Title : HEALTH-BOT
Project Id : 17MINI-C17
Guide Details : Vijaya Bhaskar Reddy , Assistant Professor
Team Members : Marneni Sowmya
Daggula Thilak Reddy
Chatlapally Rajinikanth
Abstract : Presently we all are under a great threat that is Covid-19.Every one of us are worried about that.If they are facing with general symptoms like fever or cold they are unable to get a proper medication in present situation .Due to delay in treatment for these symptoms may leads to Covid-19.There are some bots for tracking Covid-19 and other diseases .so to overcome this fearsome situation we have come-up with an idea called HEALTH-BOT.By using this HEALTH-BOT people will get benefited by getting proper prescription and kind of food need to take for the respective health issue .Also,if they are facing with any minor injury ,HEALTH-BOT can help them to do First-Aid by performing diagnosis based on the user input and provides him/her certain guidelines which can give immediate relief to the patients.Another feature from our HEALTH-BOT is,in case of major issue it will provide the nearest hospital in current location and also it will guide the user with a basic First-Aid until they can reach the hospital in needy times.It finds entity and intent of the user process the data search for the information and gives output which the user needs.So our HEALTH-BOT will reduce the death rate count which were happening for general health issue and help people to take care of their self by following the guidelines given by our HEALTH-BOT. Its main idea is to rule out the shortage of health care workers .This is been developed by using Anaconda IDE,Visual Studio and Rasa Installer.Our system is developed to Preserve Life,Prevent Deterioration and Promote Recovery.
Project Title : FLU DETECTION USING DATA MINING TECHNIQUES
Project Id : 17MINI-C18
Guide Details : MS.T.JAGADEESWARI (ASSISTANT PROFESSOR)
Team Members : MIRIYALA PRANEETH
MYNAM MANEESH VARMA
MADHIRA VENKATA SAI YESHWANTH REDDY
Abstract : People in these days have been influenced by the modernization in lifestyle and food habits are trying to defray from the healthier food which we have from ancient culture, but are falling into indigent practices and we have to find the reasons for the main causes of disease and how people are prone to illness. A variety of artificial neural network prototypes are examining in terms of their categorization effectiveness in swine flu infection. The implementation results exhibits enhanced accuracy than conventional classification methods and is a reasonable and earlier diagnosis of swine flu. This method provides suitable alternative of medical features for identification of swine flu status. It also provides insight into the classification of individuals regard as an “unidentified” phenotype on the origin of standard diagnosis methods. Scalability is the key challenge for large volumes of data. We are applying different data mining techniques for analyzing and prediction the data.
Project Title : SECURITY ENHANCER
Project Id : 17MINI-C19
Guide Details : Pallati Narsimhulu , Assistant Professor
Team Members : Kakathota Karthik Shetty
Krishna Sai Praveen Vellampalli
Sunil Kumar Dharamkar
Abstract : Security enhancer is an application ,which is used in cryptography and it is an extended version for morse code, and morse code is one of the oldest and successful algorithm for encryption, but it has some limits and defects as well one who is skilled listener and observer can easily identify morse code and decrypt easily by attackers ,so we have modified using different key and value pairs ,by these security will be enhanced and improves confidentiality between the end users. By using this app at sender side the message information is encrypted and at the receiver end the message is decrypted. So that plain text information is secured from attackers.
Project Title : ONLINE TEACHING PORTAL
Project Id : 17MINI-C20
Guide Details : Mr. C.Satya Kumar, Assistant Professor
Team Members : 17881A05F3-T.Ranjith
17881A05H3-R.Shravan
17881A05C6-C. Akhil
Abstract : Online teaching portal is an online platform to learn the selected subject taught by the selected faculty.
Our Portal provides different subjects to the students in different streams and each subject will have more than one teaching faculty. Out of them the students can select their wished faculty. Once the course is complete students will give review about the faculty who taught the subject and students performance is also monitored.
Our project can easily adopted by the institutions like colleges and schools where learning plays major role.
Project Title : ZERO HOUR TRIP CONTROL
Project Id : 17MINI-C21
Guide Details : S.VENUGOPAL ,ASSOCIATE PROFESSOR
Team Members : SRINIJA ANUDEEP ARUN
Abstract : In this project, we identify the level of glucose in the glucose trip bottles that are used in the hospitals. When the glucose bottle is about to be emptied and half of the bottle is emptied, an alert message is made to send to the nurses working there. Three important modules are used for this purpose. Load sensor is used as the input module which is used to measure weight and send data to the controller. Arduino ATmega board is used as a controller module that process the data received from the sensor. GSM module is used as the output module which detects the control given by the controller and sends an alert message to the nurse phone number. If weight of glucose bottle is less than threshold i.e., If(weight of glucose<threshold)arduino sends="" message="" to="" mobile="" using="" gsm="" else="" new="" information="" of="" weight="" is="" processed="" in="" arduino="" and="" proces="" repeats="" nurses="" different="" rooms="" can="" receive="" messages="" about="" glucose="" level="" the="" trip="" bottles="" which="" are="" present="" other="" roomsto="" send="" a="" doctor="" nurses’="" cell="" phone="" for="" continuous="" monitoring.="" there="" 2="" ways="" connecting="" module="" arduino.the="" communication="" between="" serial.gsm="" tx-="">Arduino Rx and GSM Rx->Arduino Tx. Connect the ground pin of arduino to ground pin of GSM module. To make the system flexible so that in case of emergency the patient himself can alter the saline flow rate by checking the LED screen.To make the saline monitoring automatic and inform the doctor/nurse spontaneously for patient safety and easy access when required.Here an alert message is sent to the nurse continuously i.e.,when bottle is full,half and about to be emptied.There is also a special case when glucose in bottle remains same.In these 4 cases alert message is sent to the phone.Hence immediate action can be taken without having a problem
Keywords: Scaling, Atmega Controller, GSM Module & Glucose Trip Controller</threshold)arduino>
Project Title : College Enterprise Resource Planning System
Project Id : 17MINI-C22
Guide Details : PRAVALIKA V.B
Team Members : V ANVITH KUMAR
SRUTHI RAVURI
AMGOTH AJAY
Abstract : This report specifies the various processes and techniques used in gathering requirements,
designing, implementing and testing for the project on college management system. The
problems regarding the current system in the college were analyzed and noted. This project aims
to solve some of those problems and thus, add more value to the current system.
Project Title : Color Detection using Open-CV
Project Id : 17MINI-D1
Guide Details : Dr.H.Venkateshwara Reddy Sir(Professor,Department of CSE)
Team Members : Kallem.Bhavani[17881A05K0]
K.Charan Reddy[17881A05N3]
Venkata Sailesh[17885A0509]
Abstract : Colour detection is the process of detecting the name of any color. For humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
In this color detection Python project, we are going to build an application through which we can automatically get the name of the color by clicking on the Image. So for this, we will have a data file that contains the color name and its values. Then we will calculate the distance from each color and find the shortest one.
DataSet :
Colors.csv from Kaggle.com
This colors.csv file includes 865 color names along with their RGB and hex values.
Dependencies:
Open-CV
Pandas
Numpy
OUTCOME:
The outcome of the Color Detection python project is to get the colors of an image and it is useful in numerous image editing and drawing apps.
Project Title : DIGITAL STEGANOGRAPHY
Project Id : 17MINI-D2
Guide Details : MR.VIVEK KULKARNI , Assistant Professor
Team Members : SAVADA SWETHA ,
SANTHOSHAM MALLIKARJUN ,
DANDU NIKHIL KUMAR.
Abstract : The growing risk of cyber security needs to be urgently addressed as data is one of the most important assets to be taken care of during transmission over the internet. Steganography is the technique of hiding confidential information within any media. Steganography is often confused with cryptography because the two are similar in the way that they both are used to protect confidential information. The difference between the two is in the appearance in the processed output; the output of steganography operation is not apparently visible but in cryptography the output is scrambled so that it can draw attention. Steganalysis is a process to detect the presence of steganography.we have different approaches towards implementation of steganography in multimedia data like text, static image, audio and video.In this project we are trying to elucidate the implementation of steganography using image file with LSB substitution Algorithm .
Project Title : COLLEGE AND STUDENT QUERY BOT
Project Id : 17MINI-D3
Guide Details : Mr. A Bhanu Prasad, Assistant Professor
Team Members : Nikhil D Dhore,Shaziya Tabassum,B Rajesh
Abstract : Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involved using a search engine, or filling out a form. A chatbot allows a user to simply ask questions in the same manner that they would address a human. The most well-known chatbots currently are voice chatbots: Alexa and Siri. However, chatbots are currently being adopted at a high rate on computer chat platforms. The technology at the core of the rise of the chatbot is natural language processing (“NLP”). There are two main approaches related to Machine Learning in NLP, like rule-based methods, and statistical methods. There are several exciting Python libraries for NLP, such as Natural Language Toolkit (NLTK), spaCy, TextBlob, etc. College and Student Query Bot will be used for small conversations, as well as solve some queries of students and parents related to the college.
Project Title : SORTING VISUALIZER
Project Id : 17MINI-D4
Guide Details : MS. V. UMA MAHESWARI, Assistant Professor
Team Members : ANUMOLU BHADRI JAI SANTHOSH
PARAPATAKAM SRUJANA
AGIRI VAMSHI KRISHNA
Abstract : Humans are accustomed to the technology which made lives far better than anticipated, always try to reduce the complexity and try to make it in a comfortable way. As human is insidious, adept to picking up concepts by seeing it done, rather than reading about it.
While learning about sorting algorithms, seeing the data move to its correct position under the constraints of an algorithm is much easier to follow than tracing the code by hand. This led to the inspiration of creating a sorting visualizer that animates how sorting algorithms modify and organize a set of data. In the sorting visualizer, each number in the data is illustrated as a bar and has a different height based on the value. The value selected will be in a different color, in order to distinguish it from the other while it is being shifted by the algorithm from its original position to its final ordered position. Over the years there have been many studies and papers on the use of sorting algorithms as visual aids. Some are comprehensive views on how to create animations and perform statistical analysis, and others focus on different techniques aimed for increased understanding. This project aims for the better understanding of sorting algorithms .This project provides two standpoints to look at algorithms, one is more artistic, the other is more analytical aiming at explaining algorithms step by step
The purpose of our project is to help users better understand algorithms in a better way to avoid complexity by tracing it manually
Project Title : INVOICE GENERATOR
Project Id : 17MINI-D5
Guide Details : Mr. SHRAWAN KUMAR, ASSISTANT PROFESSOR.
Team Members : SAI NATH KOTAPALLY, POLE SHIRISHA, DONEPELLY SUCHITH
Abstract : This Project is used to generate the billing invoice using SAP. This automates the process of giving a bill. The advantages of e-invoicing are clear: It’s faster, less expensive and more reliable, and it takes the inefficiency of paper out of the process. This prevents the fraud of fake bills and also act like proof of delivery.
The details of every product will be stored in the database and then the invoice is generated. Invoices are securely transmitted from SAP applications. The generated invoice will consist of a unique bar code.
Project Title : ZROTR
Project Id : 17MINI-D6
Guide Details : D.Ganesh,Assistant Professor
Team Members : S.Rithwik
P.Mohan
J.V.N.L.S.Monika
Abstract : ABSTRACT:
One of the most important skills required of anyone who wants to be an excellent communicator is that of being able to listen effectively. Listening, in particular, is the most demanding of all the language skills, as it is a vital discovery that enable user unmask creative ways in which language is pronounced and comprehended. However, there are many people who seem to lack this powerful and vital resource which results in a less than perfect communication. It is interesting to note that our studies over the last 10 years indicate that many people believe that they are good or great listeners – until they do our test!
Knowing how to spell is a fundamental part of being fluent in any language. Whether you are a youngster learning how to spell or an individual learning a new language being able to practice helps to solidify your language skills.
We propose an app that helps user practice their spelling by playing the audio recording of a word the user must then spell using the computer keyboard.
NOTE: To implement this project we are going to use the technologies like PYTHON, FLASK,HTML,CSS,JAVA SCRIPT and referencing Cambridge Dictionary.
Project Title : ONLINE-VOTING SYSTEM
Project Id : 17MINI-D7
Guide Details : Ms.S.Laxmi Sunaina , Assistant Professor
Team Members : Amrutha Pranavi Gadhamsetti , Sai Phanindra Akula , Yashwanth Reddy Kalam
Abstract : We are developing an on-line voting system by taking advantage of centralized database with
a web interface. The main concept of this project is to build a website , which will be able to
allow people to cast their vote through on-line. Time saving , working load reduced , information available at time and it provides security for data.
In a democratic country like India we are not getting 100% of voting. People are not ready to poll their vote because of many factors like people can’t go to the polling stations to cast their vote(especially aged persons and physically challenged people). People may be at remote places .
There are several issues with traditional paper based voting like ridging votes during election , insecure or inaccessible polling stations , inadequate polling materials and also inexperienced personnel.
This On-line Voting System seeks to address the above issues. With this system , the citizens may get ample time during the voting period.
Every citizen is registered first and all the details are managed at centralized database.
And at the time of elections the citizens will be login through their credentials and cast their vote
Project Title : EXPLORATORY DATA ANALYSIS AND VISUALIZATIONS ON STUDENT CHALLENGES
Project Id : 17MINI-D8
Guide Details : DR GOUSE BAIG MOHAMMAD, Associate Professor
Team Members : Paramkusham Ananya, Mustyala Jahnavi, Valapureddy Gargayini
Abstract : Education is important for each and every individual. During this pandemic all the classes are
conducted through online. Students will attend the classes, but we do not know what is
happening in background. Students may face some difficulties in learning the concepts due to
some reasons. The problems faced by each and every student during online classes is not known
usually. The percentage change in attending the classes is also usually not known.
The aim of us is to find the difficulties of students in attending classes and what is the
percentage change in the number of students during morning and afternoon classes using Data
Mining through Data Visualization and Data Analyzing concepts. Graphs are used to visualize
the percentage change in attendance of students. By analysis it is easy to find which group of
students are facing the difficulties. Graphical representations are provided to identify percentage
change
Project Title : CLASSIFICATION OF ROLE OF A CRICKET PLAYER BY THEIR ACTIONS USING DEEP LEARNING
Project Id : 17MINI-D9
Guide Details : Mr. UPENDRA PARA , Assistant Professor
Team Members : MIDDEY PRAGNA GAYATHRI
ARIKONTHAM SAIDEEP REDDY
VUDEM SANJAY REDDY
Abstract : Cricket is a game played between 2 teams where each team has 11 players each.
Cricket players will be having different roles such as a batsman, a bowler, a wicket keeper and fielders along with umpires. We can classify them with the help of actions like, a batsman hits the ball with the bat, a bowler bowls the ball to the batsman, a fielder stops the ball and an umpire signals the decisions(boundaries, extras , wickets, etc.,).The video classifier we are going to develop will classify the role of player based on the actions. There will datasets which will be trained using deep learning techniques such that the role of a player can be found out using his actions from a given video.
Thus we are developing a system intelligent in a way such that it can identify the role of a player using his actions with the help of deep learning.
Project Title : VARDHAMAN ONLINE TICKETING ANALYSIS SYSTEM
Project Id : 17MINI-D10
Guide Details : G.Madhavi, Assistant Professor
Team Members : Shiva Keerthi, KOTHA ABHINAV REDDY,K. DEEPTHI REDDY
Abstract : A “ticketing system” converts all incoming support requests from multiple channels into tickets. From the ticketing system, it’s easier to prioritize, track and follow-up on customer requests from one place. This will help your customer support team communicate better with customers, and handle issues more efficiently.
Project Title : VARDHAMAN ONLINE TICKET MANAGEMENT SYSTEM
Project Id : 17MINI-D11
Guide Details : G.Madhavi, Assistant Professor
Team Members : Manchikanti MahaLakshmi, Mohammed Haseeb Ur Rahman, Vaddepally Abhilash Kumar
Abstract : Vardhaman online ticket management system application aims at automation of ticket processing from offline mode. This helps to organize, focused, effective and efficient manner. This also involves in analysis of tickets its performance, availability and load management. It enables you to attach documents, screen shots to tickets. It has an efficient and comprehensive notification alerting system to the requestor, approval authorities and also IT help desk team.
How does a ticketing system work??
It’s an intranet-based application, which is not available for other users outside the organization. Employees of the organization once identified the problem want to coordinate to the concerned department in an online based application which helps in managing the ticket in an efficient and effective manner.
Once the ticket is raised in the system, it is then triggered to the approval authorities once they approval is accepted the ticket is then moved to the help desk bucket, Help desk head will check the availability of the resource and allot one of the available resource to the ticket, who can resolve. Once the ticket is resolved the respective people will be notified through the email alerting system.
Essential features of ticketing system:
1.Helpdesk ticketing software lets you support your employees through email alerting process. This makes it that much easier for the support agents to tackle queries from a wider audience, and respond quickly and efficiently without having to juggle between various departments and overloads.
2.The right helpdesk ticketing software will have support for an extensive knowledge base where you can add detailed solution guides and articles. This can be a valuable resource to employees, as they would be able to find answers to frequently occurring problems, without having to reach out to your support team every time.
3.Basically, the technology used here is Microsoft share point development, issue tracking, document libraries and site management.
4.We use agile methodologies that involves scrum, scrum master and sprint during the project management.
5.Aiming at providing user guide documentation and automation testing for the application.
REFERENCES:
1. https://freshdesk.com/eu/solutions/ticketing-software/
Project Title : SELF-ASSESSMENT IN ORGANIZATION TOWARDS CORONA VIRUS DISEASE 2019 (COVID-19)
Project Id : 17MINI-D12
Guide Details : MUDRAKOLA SWAPNA, Assistant Professor
Team Members : S. Manvitha (17881A05L4), Ch. Abhinav Chandu (17881A05J2), Y. Harshith Reddy (17881A05K5)
Abstract : The main aim of our project is based on the current pandemic – covid19, we are trying to reduce the spread of the virus, as yet vaccine and proper medication to find is long to go, as our daily life is inevitable, we are taking digitalized precautions and to run our organization. Every person should do a self-health examination and keep track of record in our application, every person is done screening test by security and record the data, our application will check for travel history, COVID test details, quarantines details and status of physical test done personally from past 5-days along with basic screening done by the security team. Our algorithm can decide that a person entry risk is low, moderate, or high.
Project Title : SOCIAL DISTANCE DETECTION USING ARTIFICIAL INTELLIGENCE
Project Id : 17MINI-D13
Guide Details : V.B.PRAVALIKA,Assistant Professor
Team Members : TADKAPALLY ROCHISHNA-17881A05N0
KURUMILLA SRILEKHHA-17881A05P2
KOLAN SHARATH REDDY-17881A05N7
Abstract : It is a set of regulations and restrictions to be taken to put an association or commonality
cautiously. When two persons are in proximate than the confined stretch, we may also be at risk
of epidemic, so to concenter some outstrip among them and notify them if they attain closer to
each other. This project is aimed to support and mitigate this pandemic along with minimum loss
of economic endeavours, and propose a solution to detect the social distancing among people
gathered at any public place. Object recognition also plays a vital role in
recognizing whether the object is living or non living thing and also helps us to calculate the
distance maintained by human beings. Using machine learning algorithms like Region based
convolutional neural network and You only look once(YOLO) algorithms we train the machine
to recognize the objects and artificial intelligence to detect the objects in that particular choosen
region. Keeping this pandemic in view this application can be remotely maintained.
Project Title : PLACEMENT MANAGEMENT SYSTEM
Project Id : 17MINI-D14
Guide Details : SOWMYA DUDYALA, ASSISTANT PROFESSOR
Team Members : GURRAM CHAITANYA, DADAPURAM SAHITHI REDDY, SABAVATH SANTOSH
Abstract : Various software and other sector companies conduct campus selections for selecting merit candidates. When campus selections are conducted the students should provide their curriculum vitae to the concern officer for attending the campus interviews. This routine process is maintained manually, like maintenance of their resumes in papers. This can be automated by designing software. Campus Recruitment and Placement System aims at providing the compatibility to simplify the process of placement for students. This system that consists of a student login, company login and an admin login. This is beneficial for college students, various companies visiting the campus for recruitment and even the college placement officer. The system handles student as well as company data and efficiently displays all this data to respective sides. This System do all work regarding placement like collecting student records, Authenticate & activate the student profiles, check the number and percentage of placed & unplaced students. The administrator will create the users and the users will use the accounts created by administrator. When the user enters into his respective page he can update his details, and the details are to be approved by the administrator. The admin can check each student details and can remove faulty accounts. The system also consists of a company login where various companies visiting the college can view a list of students in that college and also their respective resumes. The software system allows students to view a list of companies who have posted for vacancy. The admin has overall rights over the system and can moderate and delete any details not pertaining to college placement rules. .
Project Title : SENTIMENT ANALYSIS
Project Id : 17MINI-D15
Guide Details : SOWMYA DUDYALA , ASSISTANT PROFESSOR
Team Members : M NITHEESH
R KRISHNA PREETHAM
A DINESH
Abstract : Sentiment analysis refers to the task of natural language processing to determine whether a piece of text contains some subjective information and what subjective information it expresses, i.e., whether the attitude behind this text is positive, negative or neutral. Understanding the opinions behind user-generated content automatically is of great help for commercial and political use, among others. The task can be conducted on different levels, classifying the polarity of words, sentences or entire documents.
In this project, we propose and investigate a method of elementary discourse unit(EDU) level sentiment analysis using discourse features. Following prior work, we hypothesize that when we want to predict the sentiment of a certain EDU, we can use the sentiments of other EDUs which stand in some discourse relation with the current one. For example, a Contrast relation is likely to signal that the sentiments of two arguments of this relation are different. Once we know one of the sentiments, we can try to use this information to predict the other one. Some discourse theories have been applied in this context, but no prior work compares relative influence of different discourse theories on the performance of sentiment analysis. To the best of our knowledge, this is the first work comparing different discourse theories in a principled way in the task of sentiment analysis, making use of state-of-the-art discourse parsers.
Project Title : CARE DENTAL
Project Id : 17MINI-D16
Guide Details : Mr.Mallu Praveen ,Assistant Professor
Team Members : Anugu Prasanna Laxmi, Goturi Prashanth Reddy, Mali Raviteja
Abstract : Now-a-days most of the people from the rural and urban were choosing a reputed doctor for the treatment. Mostly people in urban areas has been habituated of using online appointments for the user convenience. But mostly limited people in rural areas are aware of it. We the developers are going to build a user-friendly website for providing a unique platform for choosing their own hospitality.
We limited this project for the Dental care as of the information available. Our Project provides email and phone number authentication for the genuine of user. It also helps the patients for booking their appointment through online at any point of time. Our website also provides immediate medical assistance through chat box and communication through phone. So this makes people can access in an efficient way. Providing the patient’s history of illness will help dentist to treat them easily. Our website enables patient to book an appointment of their convenience of time.
With these case studies we choose to provide a user-friendly online service for people so that they can use it easily at any emergency. Our services provide both urban and rural people to access efficiently for their time being. The user can rate the service that has been offered so that new users can review the feedback and choose of their choice.
Note: We are going to implement this project by using JAVA, Java Script, Angular JS, HTML and CSS.
Project Title : A MACHINE LEARNING MODEL FOR PREDICTING DISEASE AND MEDICAL COST OF PATIENTS
Project Id : 17MINI-D17
Guide Details : Mr KUMAR BARADUR ,Assistant Professor
Team Members : MARLA KARNAKAR [17881A05K8]
CHILUKA DEEPTHI [17881A05K3]
ENUGU SHIVA PRANAY REDDY [18885A0527]
Abstract : Health care is one of the largest components of the global economy. People’s health care cost and Disease prediction is nowadays a valuable tool to improve accountability in health care.
An important informatics tool for controlling healthcare costs and diseases is accurately predicting the likely future healthcare costs and diseases of individuals is highly welcomed at this moment. To address all these problems, we are proposing to build a machine learning tool which can forecast the future medical costs and diseases of user based on symptoms.

    Major Projects

Project Title : Tweetment
Project  Id : 16MINIA-1
Guide Details : Ms.Thimmapuram MadhuriAssistant Professor
Team Members : K Sri Satya Lokesh, K Sai Siddhartha, K Ruthvik Reddy
Abstract Nowadays people are mostly using social media to express their views on a particular topic. People nowadays use twitter mostly to express their opinion on a particular thing by mentioning (tagging) about that in their tweets. So this analysis helps to predict the kind of opinions people are having on a particular topic based on keyword or a hashtag they usually mention while posting their tweets. The main objective of this project is to analyze the sentiment in real-time tweets based on a hashtag or keyword in twitter by text processing.
 
Project Title : Customer Requirement Analysis
Project  Id : 16MINIA-2
Guide Details : Mr Suresh Kumar Assistant Professor
Team Members : P Kalyan Bhushan, N Sriharshini Patel, E Akhilesh
Abstract To examine and analyze the user generated data and based on the results identify the customer requirements. Approach: 1. Taking some data sets from public sources and any other companys regarding sales. 2. Making use of deep learning models like CNN (convolutional neural network ) and its filters to extract the informative data from the above data sets . 3. Finally, extracting customer requirements manually.
 
Project Title : Online Food Recipe
Project  Id : 16MINIA-3
Guide Details : Mr Muralidhar Mourya Assistant Professor
Team Members : T Vignesh, Ch Shiva, P Sai Babu, L Sandeep
Abstract Today, there are a lot of recipes or cookbooks out there. There are a lot of recipe software applications and, literally, thousands of websites have recipes for everything. Though there is now more recipe or food or kitchen information available than ever, most of it is stuck in the trappings of the old fashioned cookbook where the user still have to flip paper pages, cannot combine multiple recipes into one meal and, unless the user have a very good memory, can seldom remember which book had what recipe the user might want. As the days go by, we tend to choose meals on the spur of the method, often based on what is easy or available. Our page provides the ingredients and the process of making a delicious recipe that user want to cook individually.
 
Project Title : Project Management
Project  Id : 16MINIA-4
Guide Details : Mr S K Prashanth Associate Professor
Team Members : G Sai kiran Reddy, K Anudeep
Abstract During project Development, forming of team and advancement for abstract submission and evaluation is the main problem. Each team has an Evaluator who suggest what are the changes needed and evaluate the projects frequently. Monitoring of activities in the project is an issue to be concerned about. To avoid
these problems, wed of a new application which can satisfy the participants by solving their issues and making their project submission and evaluation faster and secure. So, we thought of an solution in form of application named- STUDENT ACADEMIC PROJECT MANAGEMENT. In this we have a login page for the participants which will classify them based on credentials and form teams. Each team will be allocated an evaluator automatically to monitor their activities in both online and offline modes. The participants uploads their projects and abstracts which are monitored by the mentor, as such he can suggest the desired changes in the abstracts. In this we also have a facility of adding some specifications likeAssignment submissions, quiz ,chat box between mentor and participants etc
 
Project Title : Got Your Bank
Project  Id : 16MINIA-5
Guide Details : Ms Shoba RaniAssociate Professor
Team Members : Sravanth, K Nitesh, P Rohith, V Hemanth
Abstract There is a serious void of products in the market to deal with psychological problems/issues like stress, depression, anxiety and low self-esteem. The idea is to create a web site with an integrated trained bot. Website consists of resources to clinically explain an issue, measures to cope up with the issue, sections which help the victims to gradually come out of the issue using psychological effects of songs and others. The bot can act as an assistance and can clarify user issues.
 
Project Title : Student library application
Project  Id : 16MINIA-6
Guide Details : Mr Sai Krishna Mothuku Associate Professor
Team Members : M Abhishek,M Ravi Teja, P Ashok Chakravarthy, P Shanthan
Abstract The application keep’s track of every transactions and display all the details of the delayed books. Retrieve the information in minimum time. Simplifies the task and reduce the paperwork. Alerting the students about the delayed books.
 
Project Title : STUBEZZ
Project  Id : 16MINIA-7
Guide Details : Mr Satya KumarAssociate Professor
Team Members : K Bharath, G Saideep, T Pavan
Abstract The Physical Class-room Learning now-a-days no longer applicable for current generation,we find it difficult to overcome the learning challenges and the possible achievements.To bridge this gap,the concepts such as E- learning has become the part of effective education.
 
Project Title : DLS Estimator
Project  Id : 16MINIA-8
Guide Details : Dr S ShitharthAssistant Professor
Team Members : G Vineel Reddy, M Raj Datta, M Sachin, M Parthasaradhi
Abstract As we know that many of the matches are interrupted by rain,the target score for batting second is given by the method called DLS (Duckworth-Lewis-Stern)method. It is a mathematical calculation used to calculate target score. When overs are lost setting an adjusted target for the team batting second is not as simple as reducing the run target proportionally to loss in overs because a team with ten wickets in hand and 25 overs to bat can play more aggressively than if they had ten wickets and a full 50 overs.The basic principle is that each team in a limited-overs match has two resources available with which to score runs (overs to play and wickets remaining), and the target is adjusted proportionally to the change in the combination of these two resources.

 

 
Project Title : Student Profile Management
Project  Id : 16MINIA-9
Guide Details : Dr D VaishnaviAssistant Professor
Team Members : Abhishek Sunkara, B Sankeerth, B Saketh
Abstract Student Profile Management deals with two major components1.  Student Attendance

2.  Student Marks

•                    Student Profile management system has become important factors in modern education field.

•                    This system should help the institutional to stream line the administrative task and provide real time access to data

•                    Building this system app-based interface will further help the ease of accessibility through any mobile

 
Project Title : Chart Bot
Project  Id : 16MINIA-10
Guide Details : Dr Ashwani Kumar  Associate Professor
Team Members : D Anjan Kumar Reddy, M Pavan Kumar, MD. Afroz, K Chetan Raja
Abstract The users verify their data is free from bad words or not. They may have good conversation with bot like greetings. Chat bots typically provide a text-based user interface, allowing the user to type commands and receive text as well as text to speech response. Chat bots are usually a stateful services, remembering previous commands (and perhaps even conversation) in order to provide functionality.
 
Project Title : Olympic Analysis
Project  Id : 16MINIA-11
Guide Details : Mr V Vijaya Bhaskar Reddy Assistant Professor
Team Members : K Sushmitha, P Tejaswini, Shreya, Nikitha
Abstract Olympics are held every four years. They are considered the world’s foremost sports competition with athletes from more than 200 nations participating in variety of sports. Being the oldest and grandest sporting event ,a large amount of data has been acquired from games history . This project analyzes previous data and suggests improvements to the progress of country.
 
Project Title : Flip-Flop Word Game
Project  Id : 16MINIA-12
Guide Details : Mr S Venu Gopal, Associate Professor
Team Members : M Pragna Reddy, M Naimisha Reddy, MD Ayesha, G Niharika
Abstract In Flip-Flop Word Game, First, a word will be displayed on the screen for 50 sec and the player has to memorize the word. After 50 sec, the word disappears and reappears but in scrambled order with one letter in each box. The player gets only one minute of time to remember the scrambled order after which it disappears. And now, the player has to write the sequence of the block numbers for the original word i.e., the player has to unscramble and arrange the blocks properly to form the given word and then write the block numbers of the letters when they were scrambled.

Example:

Given Word: E D U C A T I O N
Scrambled Word:
T E O D N A U I C
1 2 3 4 5 6 7 8 9(Block number)
Final Answer:
2 4 7 9 6 1 8 3 5

Project Title : Website (ARTCLUB)
Project  Id : 16MINIA-13
Guide Details : Mr Y Vijaya Bhaskar Reddy Associate Professor
Team Members : B Sreehitha, B Sai Bhargavi, G Pravallika
Abstract Arts and Crafts is hobby of many people . Some people show interest in creating the Arts and some maintain a collection. Sometimes people may not be satisfy with crafts they find on websites and searching on different websites is time consuming also. They need a platform where they can showcase they Arts and Crafts and also can buy them. PROPOSED SOLUTION: . This is the website where people can register, upload and showcase their Arts and Crafts . This is a great platform for Art lovers where they can find a hug collection of arts and can buy them. We notify the users if there is any event or expo organized by any organizationCONCLUSION : Arts and Crafts describes a wide varieties of activities involving making things with one’s own hand.
 
Project Title : Android App (Data Analysis on Android app market)
Project  Id : 16MINIA-14
Guide Details : Dr S Nageswara Rao Professor
Team Members : R Satwik, G Laxmi Kumar, M Shiva Kumar
Abstract Mobile apps are everywhere and they are easy to create and can be lucrative.Now a days we can see many apps are being deployed in google play store.Here in this project we will do comphrehensive analysis on android app market by comparing over several apps in google play store across several categories . By this analysis, the app developer can be able to predict his application before deploying it in playstore.However, every app developer will expect his app to be more successful and it should be used by everyone and gain some profits too.This analysis will give a glance on the previous app market so that developer can choose which app is mostly used by people.
 
Project Title : InfoSecBot
Project  Id : 16MINIA-15
Guide Details : Mr Satya KumarAssociate Professor
Team Members : P Wihar, P Vineeth, T Rohit
Abstract People when applying for pan card, passport, driving license ,bus pass. ,etc face difficulty in finding which is the actual website and what are the pre-required documents to complete the process. The chatbot shall list the pre-required documents and then collect the appropriate information from the user which is required to complete the application process. The chatbot shall even complete the payment process if required and then provides the end-registration document at the end of the process to the user.
 
Project Title : Stroop!  (Digital Library Management System)
Project  Id : 16MINIA-16
Guide Details : Dr. M. A. Jabbar, Professor
Team Members : D Vinay, Jetty Rajiv Chandra, K Vighneshwar Reddy
Abstract The Stroop Color and Word Test (SCWT) is a neuropsychological test extensively used to assess the ability to inhibit cognitive interference that occurs when the processing of a specific stimulus feature impedes the simultaneous processing of a second stimulus attribute, well-known as the Stroop Effect. We wish to design an android application Stroop! which is not just intended to aim at having fun or pass time but also to measure the ability to inhibit the cognitive interference i.e., the Stroop Test. The users are required to name the color of the ink instead of the word read. Score is increased for every correct entry with in the time provided. (In the most common version of the SCWT, which was originally proposed by Stroop in the 1935, subjects are required to read three different tables as fast as possible. Two of them represent the “congruous condition” in which participants are required to read names of colors (henceforth referred to as color-words) printed in black ink (W) and name different color patches (C). Conversely, in the third table, named color-word (CW) condition, color-words are printed in an inconsistent color ink (for instance the word “red” is printed in green ink). Thus, in this incongruent condition, participants are required to name the color of the ink instead of reading the word. In other words, the participants are required to perform a less automated task (i.e., naming ink color) while inhibiting the interference arising from a more automated task (i.e., reading the word). This difficulty in inhibiting the more automated process is called the Stroop effect.)
 
Project Title : WRONG-WAY DETECTION
Project  Id : 16MINIA-17
Guide Details : Ms Uma Maheswari  Assistant Professor
Team Members : T Gnani Prasad, D Vamshi, S Rakshitha, N Shravani
Abstract In the recent, the data analytics has become an emerging area of research in computer vision. The data analytics plays an important role for many applications such as fraud and risk detection, delivery logistics, customer interaction. Data is being generated very rapidly due to increase in information in everyday life. Huge amount of data get accumulated from various organizations that is difficult to analyze and exploit for a news agency to get the genuine and latest information .The main goal of the algorithm is to provide a platform for news agencies to access the news as per their requirements category . This algorithm proposes a platform for news agencies to overcome the problems faced by news agent’s . It is difficult to analyze manually for the news agent’s to know whether the news is real by searching in social media for the latest and genuine news based on the likes ,dislikes and comments etc.
Project Title : PARKEZY
Project  Id : 16MINIB-1
Guide Details : Mrs Shoba Rani   Associate Professor
Team Members : V Soumya, K Divya Sree, P Sri Divya
Abstract To reduce the traffic congestion and parking problems of public especially in tourist and public places.
 
Project Title : Crime Pattern Detection
Project  Id : 16MINIB-2
Guide Details : Ms T Jagadeeswari   Associate Professor
Team Members : Bhavana, Nithn, Navya
Abstract The crime rate is increasing nowadays in many countries, there must be some protection against this crime. The project CRIME RATE PREDICTOR solves the problem. Crime data is analyzed which is stored in the database. The data mining algorithm will extract information and patterns from the database. This algorithm plays an important role in analyzing and predicting crimes. Clustering will be done based on places where the crime occurred, a gang who involved in crime and the timing crime took place. This will help to predict crime which will occur in the future. Admin will enter crime details into the system which is required for prediction. Admin can view criminal historical data. Crime incident prediction depends mainly on the historical crime record and various geospatial and demographic information.
 
Project Title : Future sales prediction
Project  Id : 16MINIB-3
Guide Details : Mr. Gouse Baig Mohammad, Assistant Professor
Team Members : A Pravalika, P Bilwakshi, E Hemanth Kumar
Abstract The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, company will try to understand the properties of products and stores which play a key role in increasing sales.
 
Project Title : Securing data in image
Project  Id : 16MINIB-4
Guide Details : Mr Suresh Kumar   Assistant Professor
Team Members : Katta Neeharika, Gannepaga Sridevi, Gummadi Priyanka, Dodla Shreya
Abstract Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. For hiding secret information in images, there exists a large variety of steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications may require absolute invisibility of the secret information, while others require a large secret message to be hidden. This project report intends to give an overview of image steganography, its uses and techniques. It also attempts to identify the requirements of a good steganography algorithm and briefly reflects on which steganographic techniques are more suitable for which applications.
 
Project Title : Lung Cancer Prediction Using K-NN Algorithm
Project  Id : 16MINIB-5
Guide Details : Mr Muralidhar Mourya   Assistant Professor
Team Members : A.Kiranmai, J.NithyaSri Reddy, Y.Vaishnava deepa
Abstract Lung cancer is the leading cause of cancer death worldwide. It is estimated that 1.8 million deaths predicted in the year 2018.In men, lung cancer was common cancer with 15.5 % of total cases were diagnosed in 2018, with highest rates in eastern Asia, Eastern Europe, and central Europe. In women, lung cancer is the 3rd major cancer. Early diagnosis of cancer will help medical experts in the cancer research and due to the efforts of researchers; the mortality rate is declined over the years. ML has been used in cancer detection for nearly two decades. Cancer is a heterogeneous disease consists of many subtypes. Early diagnosis and prognosis of cancer will help in clinical management of patients. This project deals with developing a decision support system for early prediction of lung cancer using K-NN a data mining technique.
 
Project Title : Automated Trash Can
Project  Id : 16MINIB-6
Guide Details : Ms Uma Maheswari   Assistant Professor
Team Members : Nissy Joy Gummadi
Abstract In recent decades, Urbanization has increased tremendously. At the same phase, there is an increase in waste production. Waste management has been a crucial issue to be considered. In this project, the trash can is built on a microcontrollerbased platform Arduino Uno board which is interfaced with GSM modem and Ultrasonic sensor. An ultrasonic sensor is placed at the top of the trash can which will measure the stature of the trash can. The threshold stature is set as 10cm. Arduino will be programmed in such a way that when the trash can is being filled, the remaining height from the threshold height will be displayed. Once the garbage reaches the threshold level ultrasonic sensor will trigger the GSM modem which will continuously alert the required authority until the garbage in the trash can is squashed. Once it is squashed, people can reuse. At regular intervals, it will be squashed. Once these automated trash cans are implemented on a large scale, by replacing our traditional bins present today, waste can be managed efficiently as it avoids unnecessary lumping of wastes on the roadside. Foul smell from these rotten wastes that remain untreated for a long time, due to the negligence of authorities and carelessness of public may lead to long term problems. Breeding of insects and mosquitoes can create nuisance around promoting the unclean environment. This may even cause dreadful diseases.
 
Project Title : Analyzing Road Accidents 
Project  Id : 16MINIB-7
Guide Details : Mr S K Prashanth   Associate Professor
Team Members : G .Ajith Kumar, S. Naveen, R. Mohana krishna, R.Ajay Kumar
Abstract The main aim of this project is, then selected ten risk factors as primary independent variables: professional driver, driving under influence (alcohol or drug), fatigue, vehicle type, overload, brake problem, weather, road classification, terrain, and region. The method of negative binominal regression was implemented to investigate the association between these risk factors and extremely serious road accidents. Analysis shows that the distribution of road accidental deaths and injuries in India varies according to age, gender, month and time. Moreover, road accidents are relatively higher in extreme weather and during working hours. Language used for this project is Python and dataset from the government website
 
Project Title : Loan Friendly
Project  Id : 16MINIB-8
Guide Details : Dr Ashwani Kumar   Associate Professor
Team Members : V.Vamshi, K M Anudeep Yadav  , CH Radheesh Reddy, M. Shiva Prasad
Abstract Distribution of the loans is the core business part of almost every bank. The main portion the bank’s assets directly comes from the interest earned from the loans distributed by the banks. The prime objective in banking environment is to invest their assets in safe hands where it is. Today many banks/financial companies approves loan after a regress process of verification and validation but still there is no guarantee whether the chosen applicant is the deserving right applicant out of all applicants.
 
Project Title : ALGOVIS
Project  Id : 16MINIB-9
Guide Details : Mr K Kotaiah Swamy   Assistant Professor
Team Members : K Chiranjeevi Karthik, K Shiva Prasad, Naveen Chavan, Bharath Chandra
Abstract It is quite common to get stuck while learning algorithms if you are a novice student. Algovis is an experiment to visualize the algorithms imitating the conventional classroom teaching approach. Most of the Algorithm visualisation projects deliver an abstract visualization where the main criteria would be to analyze the performance of an algorithm. But we focus on delivering a learning experience to the student. Visualizations that we try to create will be in a dynamic way that enables any novice student to understand the algorithms effectively. And every algorithm is provided with a trace along with it so that the student can understand the current execution of code in visualisation. And also every Visualization is given options which help the user to change values randomly. And the visualizations are made available to be accessed from any device by developing this whole idea as a web app. We intend to make it simple and easy to use as we proceed furthe
 
Project Title : Analysing The Performance Of Various Classification Algorithms
Project  Id : 16MINIB-10
Guide Details : Mr S Venu Gopal   Associate Professor

 

Team Members : P Sudheer, V Sai Teja, S Shiva Teja
Abstract One of the challenging tasks in machine learning is classification. There are multiple algorithms to perform classification. We may consider either simple ‘Logistic regression’ or complex ‘Neural Networks’, choosing the right algorithm for the problem is of uttermost importance. Although various algorithms may produce a wide variety of solutions with varied accuracy, we can fine-tune any model to attain its maximum accuracy. Our goal of this project is to take a dataset (In this project we are going to use Titanic survival list dataset) and use various algorithms to create a model. And analyzing the accuracy of the algorithms by fine-tuning each algorithm model. And finally, we would create a table consisting of a list of algorithms and their accuracies. Which would help us understand what are the best algorithms to use if we want to solve a classification problem. And also this analysis of ours may help anyone in choosing an algorithm to solve a similar kind of problem that we had taken.
 
Project Title : Movie Bot and Analytics
Project  Id : 16MINIB-11
Guide Details : Mr V Vijaya Bhaskar Reddy   Assistant Professor
Team Members : P Tarun, T Shiva Kumar, R S Lokesh, V Nishar
Abstract Movie Bot and Analytics is as automated and interactive bot that gives instantaneous replies about the movie query requested by the end user. This saves a lot of time of the users in searching about the correct movie details and reviews from many websites. The bot channel (Slack, Facebook) receives request from the end user and transfers the request to bot code. The bot code requests the java web API the details about the required movie and the web API sends the response in the form of Json. This is converted and displayed to the end user.
 
Project Title : Maintaining supply demand gap of online rental cabs through data analysis
Project  Id : 16MINIB-12
Guide Details : Mr. Sai Krishna Mothku, Assistant Professor
Team Members : G Siddarth, V Suraj, Sai Rahul
Abstract online rental cabs faces the problems related to cancellation and unavailability of cabs which results in customers dissatisfaction and loss of company revenue. In our project we conclude the reasons for the cancellation and unavailability of cabs and provide the solutions ( recommended ways) to overcome it .
 
Project Title : Studio_book
Project  Id : 16MINIB-13
Guide Details : Mr. M. A. Ranjit Kumar
Team Members : Poojitha D Naidu, A Mayuka, prudhvi, R Shiva
Abstract This is a new technological website for Telugu film industry which deals with all the celebrities from the south (It is exclusively for movie artists). Our website acts as a personal manager for artists & people in the telugu film industry. It will be helpful to manage the dates of an artist, In addition to this, it also tells users if he/she is available or unavailable on a particular date. It will be helpful in fixing an appointment with officials in telugu film industry. This website will be helpful to plan their pre-production work just by a tap of a single click. Based on the story written on the storyboard, the website is designed in such a way that pops out with all the suitable characters and their remuneration. This way a user can easily plan his budget and can view the details of cast & crew required to make up a film. All this happens with a single tap. This website allows users to modify their profile data & add additional content or information.
 
Project Title : Faceiden
Project  Id : 16MINIB-14
Guide Details : Mr. Y. Vijaya Bhaskar
Team Members : Kushal, K.Madhav, K.Pooja
Abstract One of the most successful application of image analysis, face recognition has recently received significant attention. Facial recognition technology has emerged as an attractive solution for identification and verification of identity claims. The datasets are predefined by the developer. The recognition has two phases: • Face acquisition, • Facial data extraction and recognition Face acquisition is a processing stage to automatically find the face region for the input sequences. Once the face is located the data extraction is done in two ways geometric feature-based methods and appearance-based methods. Face recognition can be implemented in video analysis with the help of deep metric learning, OpenCV and python packages. The video analysis with the help face recognition helps to identify required faces. The deep metric learning implements the face in videos through 128-d vector which processes the faces in the video using multiple datasets i.e., the pictures of the faces and processed as a single dataset for the identification. The dataset is analysed from the neural network of the given system. Our model can be implemented on larger scale either for the facial recognition in mobile applications or using the video with deep metric analysis to identify particular person.
 
Project Title : Resume mining 
Project  Id : 16MINIB-15
Guide Details : Dr. S. Nageswara Rao, Professor
Team Members : N Alekhya, CH Sathwik, CN Rishi Raj, P Vivek
Abstract Data preprocessing is the first and foremost step of natural language processing This model can take out all the vital information such as name phone number and email etc from the resume and store it in another file which eases the work of opening each and every resume and reduces human task of processing daily
 
Project Title : TECHNOTIFY
Project  Id : 16MINIB-16
Guide Details : Dr. Rajanikanth Aluvalu, Professor
Team Members : C Manasa, R Sanjana, A Raksha
Abstract Living in a modern world and not using digitalization is not a better way , using modern technology and internet for reducing work and increasing efficiency is a way to digital country. However the events happening in the college remains unknown to other colleges. Our main objective is to develop a web application that helps the user to register and get information about the events taking place. These days every educational institution is organizing technical/non-technical events . Students acquire knowledge on latest trends by participating in those events. Our proposed
application will be organized by colleges. The main purpose of this application is to update the information about the events taking place. The application will be deployed on the cloud. It can be accessed anywhere and anytime. Using this application, students can register to the events, payment gateway is made available.
 
Project Title : The Classify Binder
Project  Id : 16MINIB-17
Guide Details : Dr. M. A. Jabbar, Professor
Team Members : L Vasavi, D Sri Teja, C Akhila
Abstract In this project, we propose a solution for organizing various file formats in a directory. As it is difficult to take time and segregate different file formats in a particular directory, this program or algorithm helps to make the task easy as it organizes each different file format into separate folder in a well manner and also makes easy to remove junk files in that directory.
 
Project Title : Concrete Strength Prediction
Project  Id : 16MINIB-18
Guide Details : Dr. Raman Dugyala, Professor
Team Members : M Pavan Naik, C Sankhya Reddy, V Hemanth kumar
Abstract The proportioning of Concrete mix design is a major problem to achieve the required strength. Generally, traditional concrete mix design proportions are based on trial and error mix formulation or based on previous experience which leads to huge problems like Cracking, Air bubbles, Scaling etc . It is an important and primary requirement to optimize the concrete compositions by selecting the exact amount of mix design parameters.
 
Project Title : MAVEN
Project  Id : 16MINIB-19
Guide Details : Mr V L N Murthy & Assistant Professor
Team Members : Md Burhanuddin Shaikh, Mohd Azhar, D Bharath Reddy
Abstract Maven is an AI Powered Chatbot and a Voice Application which will help restaurants allow their customers reserve table, handle customer queries on menus, pricing, opening and closing hours, special discounts and offers, peculiar inquiries etc. Gartner( A Global Research Firm) says that by 2020, a whopping 85 percent of enterprise-customer relationships will be managed without human interactions. Surveys show that 89 percent of consumers opt to engage with businesses through text and 64 percent of consumers that communicate with businesses via text leave with a positive impression. Given that customer retention and loyalty is at the core of any service-based business, it is paramount for restaurants to fulfill and exceed expectations when it comes to guest service. Be it ordering food, making a reservation or even getting recommendations, it is impossible for service staff to meet everyone’s standards consistently, which can result in a negative brand image for the restaurant. With chatbots, your customers no longer need to make a call to reserve a table, wait for staff to attend to them or wait in line for tables to free up. Restaurants don’t need to have an exclusive service executive for the customers either. Bots can be programmed to carry out a myriad of tasks ranging from answering FAQs, making a reservation, ordering food or processing payment. The bot can carry out these tasks in a manner similar to a service executive, difference being—it can execute round the clock with zero downtime. Bots can parallel serve as an intelligence-gathering tool which assists a restaurant in understanding their customers. With customer contact details, past orders, preferred method of payment etc., the chatbot in restaurant can not only personalize a customers experience but also reward/incentivize loyal customers in order to retain them. Chatbots are perfect for service-based businesses that are so hyper-focused on the in-person experiences. By answering questions automatically and routing guests to real humans only when necessary, chatbots can help restaurants simultaneously improve customer service and also free up time for their staff to spend improving their actual in-restaurant experience.
 
Project Title : Kavi
Project  Id : 16MINIC-1
Guide Details : Ms T Jagadeeswari, Associate Professor
Team Members : A Goutham Sai,M Sai Sankeerth, P Sri Pravan, K Sai
Abstract Kavi in Sanskrit translates to poet in English and we call our project Kavi because we are trying to build an autonomous system that can generate poems. There have been many attempts at autonomous text generation in the field of machine learning, some successful, some not so much but generating poems just adds another level of beauty autonomous text generation systems. Our idea is a novel combination of a 1st order Markov model and a linguistics rule engine, where a pseudo-random chain of words is generated taking into account its probability as described in the Markov model which will then be sent through the rule engine to validated the aesthetic beauty of the verse generated. The rule engine includes two components a syntactic rule engine which validates the syntactic validity of the verses generated and a phonemic engine which validates the phonemic aesthetics of each verse generated taking into account the phonemes in the previous verses. Though writing a poem is a work of creativity and a statistical model like a Markov model might not be ever able to replicate a human poet, the success of this project validates the use of 1st order Markov models in text generation and its increased effectiveness when combined with a suitable linguistic rule engine.
 
Project Title : Block Buster
Project  Id : 16MINIC-2
Guide Details : Mr. Pallati Narsimhulu, Associate Professor
Team Members : MD. Khalid Roshan, B Sriharsha, J Raju Guptha, M Shravan
Abstract A fully-featured video game developed using Unity Video Game Engine developed by Unity Technologies and Objected Oriented Programming using C#. The game’s objective is to break all the blocks on the screen while guiding a ball towards them using a paddle at the bottom without letting it fall off the play area. The game consists of many game objects such as screens, assets and counters. A game object’s behavioral parameters include its physical properties (body mass, transparency, movement physics etc.) and guard conditions that control the start, end, level transitions and lose and win scenarios. While the game engine provides tools to automatically configure the physical properties, The C# script attached to the objects enforces the guard conditions for them using specialized classes and methods in pre-defined unity packages in addition to maintaining game states and score counter.
 
Project Title : JustReviews
Project  Id : 16MINIC-3
Guide Details : Mr. Vemula Harish, Assistant Professor
Team Members : S Vishnu, B Suchith, V V Shanmukha
Abstract Web scraping or Web harvesting is extraction of data from website.This technique is used when some part of information from an existing website is to be extracted and presented somewhere in the same or any other format. In this project we are scraping a few review websites and display only the required information to the user in as simple way as possible. For this project we have taken into account two popular fields Movies and Books i.e the websites included in the scraping are popular movie and book review websites. A user by looking at the data provided by us can easily come to a quick decision considering various reviews.
 
Project Title : Hospital Appointment Management System
Project  Id : 16MINIC-4
Guide Details : Mr. Pallati Narsimhulu, Associate Professor
Team Members : V Niharika, K Leelavathi, K Sreeja
Abstract An Online based appointment System in hospitals which allows the patients to check the doctor’s schedule and to fix an appointment with them. This project involves the admin who has the permission to access both the doctor and patient details by using administrator username and password. The doctor can access the website by the doctor’s name and password. The doctor’s name will be unique or else a unique id is given to all the doctors and using that they can access the patient details. The patient can register into the website by giving their personal details. After that, the patient id for every patient is created and they can login to the site by giving their username and password. If a patient logins into the website, they can see a list of available doctors with their field and timings. They can choose the doctors depending upon their needs and the available timings are already given in the table. By clicking that, an alert box will show the message that you have appointed for this doctor in the available timings.
 
Project Title : Health And Fitness Mate
Project  Id : 16MINIC-5
Guide Details : Ms Uma Maheswari, Assistant Professor
Team Members : Badrinath, Md. Imran, Naresh
Abstract These days everyone is busy and doesn’t have a mere interest to take care of their health. They don’t even fetch time to consult a nutrition expert or a trainer . In order to address this issue our team has come up with a project ‘Health & Fitness Mate’ , Which helps people to take care of their health and fitness. This website provides various measures to calculate BMR ,BMI and Fat percentage. In additon to this it also provides information regarding food and nutrition at one place.
 
Project Title : Connex
Project  Id : 16MINIC-6
Guide Details : Ms B Mahalakshmi, Assistant Professor
Team Members : B Bhavya Sree Ramya, P Santhosha Reddy
Abstract Connex is an online web application which provides virtual SlamBook experience. The user can invite his/her friends to write the slam by selecting the preferred theme and style. The invitee can accept, reject or make the invitation pending. In addition to written notes, one can record their audio notes too. The user can even set birthday alarm for any specific friend based on the details written by them in the Connex page. User has the privilege to enter the number of slam pages depending on their use. User can retrieve the information anytime. The user can experience virtual book which can reduce efforts, time and space.

Team Members :

 
Project Title : Dynamic web application for monitoring NSS activities
Project  Id : 16MINIC-7
Guide Details : Mr S Venu Gopal
Team Members : D Keerthana,G Apeerva, K Sucharitha Reddy
Abstract As there is a huge gap between students and NSS coordinators in the college, sometimes the information is not reaching to the students. In some cases the event participated students are facing problems regarding permissions and attendance. It is important for every student to involve in social activities but, the non NSS volunteers are not receiving any information about the NSS, So this a platform where all these problems can be resolved.
 
Project Title : Pick Explorer
Project  Id : 16MINIC-8
Guide Details : Mr K Kotaiah Swamy, Assistant Professor
Team Members : M Nikhitha, T Mounika, V Phalguni
Abstract In this report, we present the detailed development and implementation of the game “Pick Explorer” that we are developing . This game consists of Graphical user interface, and it’s is a mobile application developed using HTML, CSS, JavaScript. Where the players needs to pick the image with provided name. It has a time limit. If the player does good in first level, the player will be directed to next level. The player will have only three attempts, after finishing three attempts, If the Player pick incorrect image, the game will be finished.
 
Project Title : Online Jobs Application
Project  Id : 16MINIC-9
Guide Details : Ms Shoba Rani, Associate Professor
Team Members : B  Abhishek, Swapnil, A Abhishek, V Sri Charan
Abstract In this the recruitment is done through online. So it will be very easy to post the jobs and hire the candidates. It can be used by both the users and companies also. *User: First he will login. In the home page he will get what are the jobs available. If he drag the navigation bar, there will be options available (Home, Applications, Settings, Profile). In that applications are the page which displays the updates of the jobs applied by the user. Profile consists the resume and the users information. Settings consists of the applications settings, add-ons and etc. (NOTE: There will be register button at the login page. By that user can be registered. It is only for the user registration.) *Companies: Companies also login with the id given to them. They will get the page which consists of the jobs which are created by them. If he drag the navigation bar, he will get the creation option in which jobs can be created. He can also check company profile. Settings also provided for them.
 
Project Title : Vehicle number plate recognition
Project  Id : 16MINIC-10
Guide Details : Mr V Vijaya Bhaskar Reddy,  Assistant Professor
Team Members : Chandana, V Namitha, Swetha
Abstract Number plate recognition is a form of automatic vehicle identification. A number plate is the unique identification of vehicle. Real time number plate recognition plays an important role in maintaining law enforcement and maintaining traffic rules. It has wide applications areas such as toll plaza, parking area, highly security areas, boarder’s areas etc. Number plate recognition is designed to identify the number plate and then recognize the vehicle number plate from a moving vehicle automatically. Automatic number plate recognition has two major parts: Vehicle number plate extraction, Optical Character Recognition (OCR). The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Number plate extraction is that stage where vehicle number plate is detected and extract the number plate text. The segmented characters are normalized and passed to an OCR algorithm. At last the optical character information will be converted into encoded text. The characters are recognized using Template matching. The final output must be in the form of string of characters.
 
Project Title : Object Recognition
Project  Id : 16MINIC-11
Guide Details : Mr. Sai Krishna Mothuku, Assistant Professor
Team Members : K Meghana, Sanketh, K Minika
Abstract Introduction: We know humans can easily detect and recognize images but computer cannot do it easily . So , object Detection and recognition is an important task in image processing and computer vision .It is concerned with determining the identity of an object being observed in an image. Description: As this includes object detection and recognition ,which mainly aims to detect multiple objects from various types of real time objects and then recognizes after detection as particular class ,for example :if we keep pen in front of camera then it detects and recognize as pen .We train machines by giving different inputs using different machine learning algorithms .So those are used to detect and then classify those objects into different classes after recognizing them .Hence ,it deals with detecting instances of semantic objects of a certain class in digital images or videos .This can also include some of applications like face detection . Technologies: PYTHON with open CV. Conclusion: This mainly aims to detect the multiple objects from various types of images and then recognize them .This system will provide easy user interface to retrieve desired images and to classify them.
 
Project Title : Online food delivery services
Project  Id : 16MINIC-12
Guide Details : Mr. Y. Vijaya Bhaskar Reddy,Associate Professor
Team Members : G Sai Bhavana, L Suchithra Reddy, J Shirisha
Abstract todays world the importance for organic food growing day by day. People are hoping for healthy lives. The whole aim of our project is to provide the healthiest food, free

 

from chemicals and great for your body. This may improve the communication between rural and urban people. Organic food delivery services exactly aim to deliver you fresh, organic food. They do this by sourcing the produce from local farms, then boxing it up , delivering it directly to you. There’s no in-between man and there’s definitely nothing artificial. Another great benefit of organic food delivery services is that its convenient and means you support your local farmers without going out of your way to do .If there is availability, they also provide information about fruits and raw vegetables…
 
Project Title : EASY2BUILD
Project  Id : 16MINIC-13
Guide Details : Dr. S. Nageswara Rao,Professor
Team Members : G Akil Sagar, B Karunakar, Sai Teja
Abstract These days everyone wants to estimate the cost of constructing a house . So they do not have the idea of exact prices of the requirements. They depend on other people like builders . Builders may not give a perfect cost they take some extra money.But our team will design a website named as ‘easy-build’ will help the people to estimate the cost of the construction . Also gives the exact price and also provides the details about every product price .And also will get updated if increase or decrease in the prices. This may also further helpful for providing the legal documents for constructed houses. This project is also helpful for civil contractors that if someone requested for construction of house . This will be handovered to the constructors. Same way interior designers also get the benefit of it.And plumbers and electricians also get their work from this project.
 
Project Title : Sports Data Analysis and Visualization
Project  Id : 16MINIC-14
Guide Details : Dr. Rajanikanth Aluvalu,Professor
Team Members : Syed Sohail Ahmed, G Manoj, K Mrudula
Abstract Sports Data Analysis and Visualization:In today’s world, Data Analytics and Visualization are an integral part in making decisions on any kinds of domains. It also enables an organization or an individual to easily understand, assess and draw conclusions such that it can move forward and compete in real world. We try to relate different attributes of a player and compare his performance among his team members. This enables us to understand the state of the player, his capabilities and also allows us to find strengths and weaknesses. By this analysis we are also able to find outliers and try to improve their performances.
 
Project Title : LOCOMOTIVE
Project  Id : 16MINIC-15
Guide Details : Dr. M. A. Jabbar, Professor
Team Members : D Prabhu Shankar, P Aniketh, A Preetham, Kalyan
Abstract Locamatic is an android application which will automatically modify the wifi and audio settings of the phone based on the live tracking of location. The users need to add their current location to set of wifi zones and audio zones and can leave the rest to the app. The app will automatically track the user’s location and whenever the user enters his/her predefined silent zones, it turns the audio profile of the mobile to silent mode and whenever he/she exit that zone, it again turns the audio profile of
the mobile to normal mode. Whenever the user enters his/her pre-defined wifi zones, the app turns on the wifi and waits until it gets connected to a network. Once it gets connected to a network it will send a notification stating the entry into wifi zone and suggests the user turn off unnecessary mobile data. Once the user exits the zone, the app will turn off the wifi and notifies the user to turn on the mobile-data if required, thus performing battery optimization. The app also maintains a list of existing wifi and silent zones of every individual user. Zones can be either activated or deactivated by the user. Deactivated zones are like dead zones where the app doesn’t work. Once they are activated, the app works again at those zones. The app also allows the user to delete their saved wifi and silent zones from their saved zones
 
Project Title : MyShop
Project  Id : 16MINIC-16
Guide Details : Dr. Raman Dugyala, Professor
Team Members : P Nishanth, V Yashwanth, L Dinesh, B Ajay
Technology Used :
Abstract An ecommerce website commonly have a merchandising homepage central promotions and online store layout under different categories based on different objects added to website like lifestyle, goods and gadgets.It is a website with basic features necessary for ecommerce with a good design.
 
Project Title : People count through image processing
Project  Id : 16MINIC-17
Guide Details : Dr. D Vaishnavi, Associate Professor
Team Members : A Durga Prasad, A Sreevanth Reddy, T Adarsh Chowhan, Kiran Kumar
Abstract Using image processing coubt the number of people incoming and outgoing , by using detection algorithms and tracking algorithms.
 
Project Title : Arrow Escape Mobile Application
Project  Id : 16MINIC-18
Guide Details : Mr C Satya Kumar,  Associate Professor
Team Members : D Greeshma, M Jessica, D Jayanth
Abstract In this game a helium filled balloon is flying through the clear sky which is away from dark clouds. Dodge the arrows and earn points. This game contains two kinds of stars, on which will earn points and other will help the player to widen the clear sky and shorten the dark clouds.On dodging the arrows, the clear sky will reduce and sequentially dark clouds will increase.Collect all balloon sizes and win the highest score!
 
Project Title : Vehicle number plate recognition
Project  Id : 16MINIC-19
Guide Details : Dr Ashwani Kumar, Associate Professor
Team Members : D Jayanth, K Sharath Karthik, Rathna Kumar
Abstract Number plate recognition is a form of automatic vehicle identification. A number plate is the unique identification of vehicle. Real time number plate recognition plays an important role in maintaining law enforcement and maintaining traffic rules. It
has wide applications areas such as toll plaza, parking area, highly security areas, boarder’s areas etc. Number plate recognition is designed to identify the number plate and then recognize the vehicle number plate from a moving vehicle automatically. Automatic number plate recognition has two major parts: Vehicle number plate extraction, Optical Character Recognition (OCR). The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Number plate extraction is that stage where vehicle number plate is detected and extract the number plate text. The segmented characters are normalized and passed to an OCR algorithm. At last the optical character information will be converted into encoded text. The characters are recognized using Template matching. The final output must be in the form of string of characters.
 
Project Title : Discussion Forum
Project  Id : 16MINID-1
Guide Details : Mr K Ramu  Associate Professor
Team Members : Goli Sreeja Reddy, MD. Karishma, Sri Teja
Abstract This project is all about a discussion forum. A platform where a user can get more clarity regarding his queries. Basically there is a user side and an admin side. User side: Any user who have registered can post the question. A registered user can also leave a reply to the other questions posted by other users. User also has an option to choose a subject in specific among the available subjects. Admin side: Admin leaves a reply to the questions posted by the users. Admin can also disconnect a user if the user is found to be suspicious. Admin also manages the user activities.Admin can also delete questions which are unrelated.
 
Project Title : CodeCorner
Project  Id : 16MINID-2
Guide Details : Ms Laxmi Sunaina  Assistant Professor
Team Members : Arun Sagar Nune, P Ram Mohan, B Lacman
Abstract Our project “CodeCorner” helps students to participate in popular coding competitions like Google Hash Code and ICPC. We also help students to learn some of the advanced concepts of computer programming like Data structures and Algorithms, Dynamic programming, Competitive Programming, and Advanced Data Structures. We also provide sample codes for Data Structures and Advanced Algorithms. In our project we provide everything online from materials to compilers which are already available online, we just bring all the various types of platforms to a single place where a student can develop his skills in programming. As most of the students are unaware of these concepts and lack behind. Our project helps students to learn these concepts on his own pace and provide all notes, resources and practicing platforms through links on our website. Our website helps them to register with various online coding challenges available on HackerEarth, HackerRank, Top Coder and SPOJ. We encourage them to solve some of the harder coding problems through this platform. We also provide some of the most popular books in the form of E-books to learn some basic concepts as well as advanced and help them to become a good programmer. Today we live in a competitive world where employers require best to work at their organizations. We help students to become the best and be the first to get hired into these organizations. In our project, we also have websites which help them to build their aptitude and verbal skills.

 

 
Project Title : Data Analysis On Titanic Dataset
Project  Id : 16MINID-3
Guide Details : Mr Bhanu Prasad  Associate Professor
Team Members : K Deelip Kumar Reddy, Bachu Shivasai, Bheemarapu Maneesha
Abstract Titanic disaster occurred early morning hours of 15 April 1912, killing about 1500 passengers and crew members. The fateful incidents still compel the researchers and analysts to understand what could have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, we analyze the probability of survival based on few attributes like gender, age, and social status, Some groups of people were more likely to survive than others, such as women, children, and the upper-class. Therefore, we can learn about the society priorities and privileges at the time. In this project, we use various machine learning algorithms namely Logistic Regression, and other algorithm to predict the survival of passengers. In particular, we attempt to compare these algorithms and find the algorithm which is more efficient than other algorithms.
 
Project Title : Automatic Library Book Renewal and Online Book Donation application
Project  Id : 16MINID-4
Guide Details : Mr G S Prasad Reddy, Assistant Professor
Team Members : Dileepkumarreddy, G Rishikesh, Niharika
Abstract The project is created keeping in view of the convenience to the students. The present library system is inefficient without physical presence of faculty. Normally, in our college library we submit our library cards and take books. After 15 days of taking the book we need to renew it and if we haven’t renew it on the 15th day we need to submit that book and need to pay for the delay in the submission. So there are many problems with this renewal process, 1. If many students have to renewal at the same time then students have to wait in the queue till their turn comes. 2. Students may forget about renewal date. 3. Unavailability of renewing staff during lunch hours, as most of the students go to library to renew books at lunch time they may face problem. Here, we are providing the solution by creating an app that takes login details i.e, roll no and respective password provided by our college and after login it contains the details of the books taken by the user and it contains a scan button to scan the barcode on the book and this button is active only on the 15thday and a notification will be sent on the day of renewal. This app helps to renewal a particular book only 3times and after completion of 3rd time he has to submit the book in the library and take new book. Book donation is also possible with this application. The details of the donor and details of books are stored in the database which he/she has donated. The other students can use the books which are donated by others.
Project Title : Recommender systems in E-Commerce
Project  Id : 16MINID-5
Guide Details : Ms Laxmi Sunaina  Assistant Professor
Team Members : Rishika, Yashashwi, Maneesha
Abstract Recommender Systems or Recommendation Systems is a subclass of information filtering systems that seeks to predict a “rating” or “preference” that a user would give to an item. Recommender Systems are used in variety of areas, mostly used in e-commerce sites to filter the products according to the user’s interest. Internet is speeding up and modifying the manner in which daily tasks such as online shopping, paying bills, etc are accomplished. To stay competitive, markets need to provide different products and services to different customers with different needs. Markets need to customize customers need while providing more options. Recommender Systems allow rapid and automated customization and personalization of ecommerce sites. They allow the sites to generate more sales by tailoring to needs of the visitors and turning them in to customers. Information based on user demographics, item attributes , and user preferences are gathered. From this dataset useful information is extracted which is referred as Knowledge Discovery in Dataset. Using an appropriate Recommendation System and Recommendation Techniques are used to generate recommendations for users.
 
Project Title : Image segregation system
Project  Id : 16MINID-6
Guide Details : Dr Shitharth, Assistant Professor
Team Members : Kopparthi Sai Venkat Reddy, Konjarla Mounisha, Srujan
Abstract We are going to build a software/tool that classifies the photos based on given input.(Specific person’s image). DETAILED EXPLANATION: Getting into detailed explanation by an example, Eg: Take a case of an album that has our friend’s group photo and my selfies. So I need to separate all the photos where I’m present. It takes much time in selecting each and every photo of mine before sharing. So to avoid that, you just need to take a set of selfie pic of a person’s face to which you want to share to, and give it to the software. Our tool will add filters to that set of photos, train it and gets to the conclusion of his face. Now a folder full of group photos is given as input. Our tool will segregate all the photos which is matching the filtered/trained face. References:- Programming language – Python Open cv using python Packages like face recognition, os, pickle, dlib etc. Face recognition algorithms and haarcascades Usage: If this software/tool is built as an Android app or this feature is added with camera application , it would become easier to share the photos of our friends and its much time saving.
 
Project Title : Networked Infobox
Project  Id : 16MINID-7
Guide Details : Mr A Ramesh  Assistant Professor
Team Members : N.Pranaya Reddy, Gudla Rahul, N Rishitha
Abstract Networked Infobox is an application which will automate a lot of activities in a school or college or office etc depending upon the usage that is expected by different organizations. They can display info of all teachers in various departments, display timetable for students, display results of students. They can display info related to any holidays or info related to any fees collection scenarios or any common regulations that are announced by management. In the same way, it can be used by colleges also. In this project, we will aim to provide a way to automate the way in which notice board messages can be updated, deleted or removed. Provide access to students/ professors or administrative etc officers to different features which will provide various information. All the updates like, add, delete, view are done by admin, so that user will get the updated current information through notice board online.
 
Project Title : Dream Destination
Project  Id : 16MINID-8
Guide Details : Mr V L N Murthy  Assistant Professor
Team Members : Jagpreeth Kaur, P.Divya, M Shiva Kumar
Abstract The main aim of this project is to make it convenient to the tourist to find the best travel package and further details required for their trip. This project will help tourist to select the best Travel Package among all the package deals on the web. The tourist will select a travel package for a particular place based on their own interests and recommendations provided by previous customers who had experience with the package. Initially, we will gather tourist details and their duration of trip, then we will provide the suggestions of the best places. Based on the data collected we will generate a list of personalized travel package recommendations. After the travel package is decided the specific guides and their details will also be provided if required. Finally, the reviews about their trip and experience will be extracted from the tourists.
 
Project Title : Arena Happening
Project  Id : 16MINID-9
Guide Details : Mr M. A. Ranjith Kumar , Assistant Professor
Team Members : Meghana, Koram Hari Prasad, B K Arjun
Abstract This project is mainly based on the management of auditorium of Vardhaman engineering college. It keeps track of auditorium status and advance bookings along with the associated event details. The Event manager can easily check the auditorium bookings and timings. He has the authority of the system and he is responsible for approving and disapproving the particular department request for auditorium booking. There is a department registration, where department needed to register itself and then it can start booking the auditorium for any particular events. If there is any clash of events between any two departments the event manager will warn them and avoid that clash. Here the clash can be between any two departments booking an event in auditorium for same date .The booking requests are directly sent to the event manager account , he can therefore make decisions for approving or disapproving requests. This system will provide details of departments and their status of booking. We can easily get information about any event by its particular date or by event name.
 
Project Title : V-Chat
Project  Id : 16MINID-10
Guide Details : Mr A Ramesh, Assistant Professor
Team Members : Sachin Reddy, Muniganti Srikanth, T Aravind
Abstract “V-Chat” – a simple, lightweight and on-the-go Desktop chat application built using Sockets in Python which works on LAN provides a secure and hassle-free communication between people within an organization even in the absence of Internet. The messages are volatile and the application does not demand a database backup which also adds up to the security of information. The application is quite simple to use as it comes with an intuitive GUI and is only a click away.
 
Project Title : Image Matching
Project  Id : 16MINID-11
Guide Details : Ms Uma Maheswari  Assistant Professor
Team Members : N Leela Prasad, Shiva Kumar Reddy, Bhanu Prakash
Abstract Image Mapping is a simple game where the player’s challenge is to match the n number of pairs of images. At the start of the game, the player is given 10 seconds of time to grasp the images i.e., when player moves cursor on the image, the image is displayed and the image swaps out when the cursor is moved out from that image position. Then the actual game is started. There will be three levels in this game. Images are shuffled for every new game. At Higher Levels for every mismatch images are shuffled.
 
Project Title : Coding Center
Project  Id : 16MINID-12
Guide Details : Mr K Ramu  Associate Professor
Team Members : Suryadevara Karpooravally, Vishnu Vardhan Korukuntunna, Bazequa Fatima
Abstract The main idea of this project is to design a compiler that compiles source code in C, C++, Java and generate compiler messages in case of errors. Execute the compilers source code and show the result of execution. To implement a compiler, we will use NodeJS a server-side language. NodeJS has a module called compile-run enables to run commands to compile and execute source code. This requires to set up the environment like install gcc, g++ and JDK to compile C, C++, Java programs. To design Front End, for the best feel of the coder, HTML, JS, and CSS will be used.
 
Project Title : Travel Package Recommendation System
Project  Id : 16MINID-13
Guide Details : Mr A Bhanu Prasad, Associate Professor
Team Members : S Krishna chaitanya, K Rahul Reddy, K Siddartha,
Abstract The recent past showed a greater interest in recommender techniques. Now-a days there are many travel packages existing from different websites to almost all the places over the world. A customer finds it very difficult to search for the best package as he/she has to browse multiple websites, contact many travel agents and etc. which is a tedious process and is time consuming. There should be a system where the user should find the best package on the Internet with a single click. To address this issue, we adopt Travel Package Recommendation System which offers the best package among all the other packages that are on the web. This project will help tourist to suggest the best Travel Package among all the package deals on the web. On multiple demands of tourist that is, a customer will select a travel package for a particular place based on the recommendations provided by the previous customers who had experience with the package. Therefore, according to the personalized recommendations, he/she will choose the best package that is on the web. Initially, we will evaluate the particular characteristics of the current traveling packages and we mine the data on the tourists rating and the intrinsic features i.e., locations, travel seasons etc. Based on the data collected after mining, we will generate a list for personalized travel package recommendations. Furthermore, we will extract the data based on the tourist’s relation with the area and season.
Project Title : PROJECT-HUB
Project  Id : 16MINID-14
Guide Details : Mr Ganesh Deshmukh , Assistant Professor
Team Members : Ambarla Sriram, Gurrala Rashik Reddy, Anvesh Reddy
Abstract These days we are aware that many of the creative projects done by the students come to halt due to lack of funding and awareness. Even we can’t sell our projects due to lack of resources. We came up with a solution for this problem by creating an online platform where the students can exhibit their projects and acquire funding. Even new students will also gain information from referring the previous projects for queries. Investors can fund the projects they are interested in and acquire all the legal rights by payment of a fixed amount. Students from different communities can come together on to a single platform to share their ideas and create innovative projects. Outcomes: 1. Our platform will act as an interface between students and industry people. 2. Students can make money out of there innovative ideas. 3.Investors can fund on creative ideas of students.
 
Project Title : Online Examination Portal
Project  Id : 16MINID-15
Guide Details : Mr Ganesh Deshmukh , Assistant Professor
Team Members : Manideep, Raja Ram, Tanniru Madhusudhan
Abstract There are many reasons for a system to be computerized . The foremost among them is the speed, efficiency and accuracy. A computer system can satisfy all the requirements of the user much efficiently than the manual system with its tedious paper work. Online Examination helps the students for appearing the exam by online. Its mission is to offer a quick and easy way to appear the exam and it also provide the result immediately after the exam. The user can enter to write the exam only with their valid username and password. The administrator creates question paper. The aim of our project is to develop a website that will help the students and our web application Saves time as it displays the results as the test gets over.It is automatically generated by the server. Administrator has a privilege to create,modify and delete the questions papers and its Particular questions.
 
Project Title : Rapid Trade Car Sales System
Project  Id : 16MINID-16
Guide Details : Dr Prabhakar Kandukuri, Associate Professor
Team Members : Y.Venkat Reddy, Vaishnavi.M, Nagasai Thimavanth
Abstract  Car sales and review system was introduced as a platform to sell ,review the cars and know the bookings that have already been done. In earlier days cars were sold in garages and showrooms. People had to go the showrooms personally to know the specifications, price and other details of the car. Booking and payment methods were also done manually which was a tedious and delaying process. They faced complexity to have a comparison among the cars they wished to buy. To overcome this problem, Car sales and reviewing system platform was developed on an online basis which was a revolutionary idea. In comparison to the existing systems, the proposed system will be efficient in providing a market for dealers to sell cars in a single platform and will also give the customer a simple but efficient platform to communicate, comment, express his views on the various cars offered by the dealer. It allows the users to know the specifications, price details, reviews given by the previous customers and enables him to book a car of his choice by knowing the
complete details of the car on a single platform . The customer can save alot of time and can have a user friendly accessibility as he can check cars of different brands on a single system. Now a days many online websites are just acting as a medium of selling the car, but this system enhances them to know the product comparisons, reviews given by the previous customers which would help them in the process of buying a car of their choice.
 
Project Title : Codependency
Project  Id : 16MINID-17
Guide Details : Ms B Mahalakshmi Assistant Professor
Team Members : Sruthi Chincheti, Yashwanth, Praveen
Abstract Codependency is a platform for programmers who compete in competitive programming. This platform allows users to share their code and be notified in their work. We believe that instantly scraping and sharing the problem statement and seeking an explanation for the solved problem from a known source is a huge advancement in problem solving ability.
 
Project Title : Restaurant Table Booking and Order
Project  Id : 16MINID-18
Guide Details : Dr Prabhakar Kandukuri Associate Professor
Team Members : Mankal Rohith Kumar, Monica, Karan
Abstract Restaurants are trending for business category on the internet and many restaurants now have a website. A well-designed website will attract new customers to your restaurant, online reservations are increasing rapidly with so many consumers seeking out restaurants via the web, and a well-designed website for a restaurant needs a few key elements that a customer looking to book would want to see. So, we present you this system where a web application for the admin and restaurant completes the package of restaurant & bookings. The user can browse through number of restaurants on the basis of cuisines and check for all their details and pictures uploaded by the restaurant, and the user can book it by selecting the tables as well and other functionalities. The user can cancel and check his booking history or even review his previous experiences with the restaurant. While the admin is responsible to check the booking history or user list and manage tables. The restaurant user can check all the booking and enter check and check out status or even block a user from booking it again.
 
Project Title : Chat Box for Counselor Management
Project  Id : 16MINID-20
Guide Details : Mr Vemula Harish Assistant Professor
Team Members : M Rithesh Reddy, Sunayana, Pranay
Abstract The project is for the interaction between the students and their respective counseling faculty. In our college, we rarely find the counselors interacting with their prescribed students due to a variety of reasons. In this we can interact about the academic problems, attendance and many other issues. In this website we have a login page for students, counselors as well as student’s parent. The students can access the page with their respective college ID (roll numbers) and passwords provided to them. In this student portal, the student can find a variety of options which also includes chat option, using which they may communicate with their counselors. Even the counselors are given a login ID and password and with a list of all prescribed students for counseling. The counselor will also be able to reply to the student in the chat box itself. And in parent login, the parent’s are also provided with a unique login ID and password with which they can view their child marks and can communicate with counselor directly regarding their child.

 

Project Title : STUDENT ASSISTANCE
Project  Id : 16MINID-21
Guide Details : Mr Shrawan Kumar Assistant Professor
Team Members : Satla Rahul, Santhosh, Praneeth Sasanapuri
Abstract The main idea of this project is used to maintain the College Event information and organize the event and to send details of the event to the student through mail. The main purpose of this project is to simplify the process of handling each event by providing a web interface for admin, teacher and students. The admin part consists of multiple modules where admin or the authorized person need to add the event and type of event (indoor or outdoor). This provides college management to schedule events online and assign student volunteers for an event. System allows admin to add teachers who will conduct the particular event activity which is allotted by the admin itself, also can view the student registration for a particular event and lastly, viewing the results of all events held in college. Teacher performs various task such as taking the attendance of the students who are registered for a particular event, viewing the list of students to mark the winner of each round, generating the results based on multiple rounds won by the student and also can view the 1st, 2nd and 3rd standings of student’s name for the particular event. Student interface consist of viewing and getting registered for the event of their choice, pay the event activity fees if applicable and can view all the registered events. The registered students will get a mail regarding events and they can easily register the event.

Project Title : VIRTUAL LABS
Project  Id : 16CC-A1
Guide Details : Dr RAJANIKANTH ALUVALU
Associate Professor
Team Members : DANDALA ANJAN KUMAR REDDY ,DANDALA ANJAN KUMAR REDDY,GANGIDI SAI KIRAN REDDY,KADAVERGU ANUDEEP
Domain : Cloud / IoT
Abstract In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institutions physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. In a college laboratory the main actions to be performed are looking up the schedule, executing the scheduled programs and then the evaluation process. In this project a virtual environment is created for each and every student thus he/she can login through their login credentials provided. In each and every city there is huge number of colleges and they are following the traditional method of laboratory process. Through this project we can make all the colleges digital. It is cost efficient where colleges can use it and integrate in their college platform. It increases the productivity as the various cloud computing algorithms are designed to perform certain operations. It reduce the paper work so all the colleges that can use this application to achieve the objectives of virtual labs.
 
Project Title : WE CONNECT (maman.ga)
Project  Id : 16CC-A2
Guide Details : Mr M A Ranjith Kumar
Assistant Professor
Team Members : G LAXMI PRASAD, KARRI SRI SATYA LOKESH, MUNUGOTI PAVAN KUMAR, PALADUGULA WIHAR
Domain : Cloud / IoT
Abstract These days when we are posting some media (photo/video) on social media But we don’t know whom it is reaching even though private profiles are there. So to overcome this we need a social network where only we(people we trust or whom the data is to be shared) are present which can be customized according to one’s need.
Thus, we can use the application as we intended to use it without any restrictions.
 
Project Title : SMART GATE : GATEWAY FOR SMART LIVING
Project  Id : 16CC-A3
Guide Details : Mr Gouse Baig Mohammad
Assistant Professor
Team Members : KOMMINENI SAISIDDHARDHA, GOPIREDDY VINEEL REDDY, PASPUNOORI VINEETH,THOTA VIGNESH
Domain : Cloud / IoT
Abstract : The main purpose of the project is to manage the problems which are facing in the Community living areas. Generally, in Society all the work is decided through meetings and maintenance bills, contact no of members are recorded on the papers. There is no qualified model for the simplified experience so far. We are proposing a community cloud deployable model for addressing all kinds of needs, services and maintenance. People in the community can raise the maintenance complainants like supply of the water, plumbing, welding works, internet connectivity, electricity, carpentry, Air Conditioner, Water cooler, Refrigerator etc. More extensive services like availing workforce when required, booking the community halls, maintenance bill payments, Event Notifications and information regarding selling and renting the houses in the community. Vivid billing with detailed information, tracking the visitor moments with digital register backups. Apart from the regular usage users can conduct events in the community like pool parties, lady’s night, modelling, new year eve and they can advertise their events on the website. With this model, we can connect the entire community in fingertips for the better and beneficial social living within the cities.
 
Project Title : SILAYIAI
Project  Id : 16CC-A4
Guide Details : Dr Raman Dugyala
Professor
Team Members : BHUKYA SAIBHARGAVI, DEVARASETTY PRANAY, KASOJU BHARATH, PANTHAGANI TEJASWINI
Domain : Cloud / IoT
Abstract People find it difficult to alter their clothes. Many fashion designers don’t alter their clothes. Tailor do this job. Tailors stay in our nearby lane but their location is not known to many people. So, this project provides online platform for tailors and customers to interact with each other. Cloud storage is being used to store the details of the tailors and customers.This application provides the nearby tailor’s details along with the rating given to tailor. Customer can even contact tailor through chat box provided in our application. Tailors can login using their authentication details and can display their designs. The interested customers can contact the tailor and can interact with them.
 
Project Title : CLOUD BASED HOSPITAL MANAGEMENT SYSTEM
Project  Id : 16CC-A5
Guide Details : Ms S Laxmi Sunaina
Assistant Professor
Team Members : MIRGUDE SACHIN, MUTHYAPU SHIVA KUMAR, RUTHVIK REDDY KAWKUNTLA
Domain : Cloud / IoT
Abstract Hospital needs an online system whereby it can accommodate the patients comfortably and avoid any confusion to the doctors regarding their work. There should be a system where the patients are categorized under insurance policy and non policy holders and the hospital management to claim the bills from concerned insurance company all these needs can be fulfilled by our project.Proper maintenance of patient and doctor database and schedule appointments. Properly maintain details like rooms availability and in patients and outpatient details. And also to generate bills automatically at the time of discharge. So our platform ensures smooth operation of the hospital management tasks as well as offering facility to patient.
 
Project Title : DISEP-DISEASE SEVERITY PREDICTOR
Project  Id : 16DS-A6
Guide Details : Dr. K. Prabhakar
Assistant Professor
Team Members : BOJJI SREEHITHA, AKARAPU SAMYUKTHA, MADDHURI PARTHASARADHI, VINTHA HEMANTH REDDY
Domain : Data Science / IoT
Abstract In today’s world we are on a express train to a cashless society. The most accepted payment mode is credit card for both online and offline, it provides a cashless shopping in all countries. It has became a more conventional way to do online shopping, paying bills etc. Hence the risk of fraud transactions has been increasing day-by-day. Implementation of efficient fraud detection system thus became important for all credit card issuing banks to minimize the losses. In real life, fraudulent transactions are intermixed with genuine transactions and simple pattern matching is not often sufficient to detect this problem accurately. There is a need of past history of transactions like credit card holders spending pattern from the previous transactional database, and other inputs like income, location, living expense etc can be compared with the current transaction details to detect credit card frauds, if there is deviation on transactions it indicates as fraud. To detect this fraud we are using various machine learning algorithms like k-nearest
neighbor, logistic regression etc classifiers to detect the fraud more accurately.
 
Project Title : INIQUITY INTERPRETER
Project  Id : 16DS-A7
Guide Details : Mr S Venu Gopal
Assistant Professor
Team Members : MINNAM REDDY NAIMISHA REDDY, KILARU SAI SUSHMITHA, MALLOJI RAJ DATTA MANOHAR, M PRAGNYA REDDY
Domain : Data Science / IoT
Abstract Crime is one of the biggest and dominating problems in society. As the crime rate is increasing day by day, our major concern is to reduce the Crime rate to a possible extent. Our project can solve this problem by analyzing and evaluating previous datasets and thus preparing a report on crimes within different aspects such as region, backgrounds, etc. This project analyzes datasets that consist of numerous crimes and help police officers to patrol regions easily and also speed up the process of solving crimes.
 
Project Title : DETECTING FRAUD SCAM WEBSITES
Project  Id : 16DS-A8
Guide Details : Dr H Venkateswara Reddy
Professor
Team Members : MOHAMMAD AYESHA TASMEEM, DEVATH INDUMATHI, LENKAPOTHULA SANDEEP GOUD, MADIPADIGE ABHISHEK
Domain : Data Science / IoT
Abstract There are number of users who purchase products online and make payment through various websites. Multiple websites ask the users to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. In order to detect and predict fraud website, we proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm. To extract the data sets, we are implementing classification algorithms and techniques. The website can be detected based on some important characteristics
like URL and Domain Identity. Once user makes transaction through online, when he makes payment through the website our system will use data mining algorithm to detect whether the website is phishing website or not. This application can be used by many E-commerce enterprises in order to make the whole transaction process secure.
 
Project Title : Optimize traffic flow using traffic signals
Project  Id : 16DS-A9
Guide Details : Dr H Venkateswara Reddy
Professor
Team Members : GONGALLA HARIKA, SOMA RAKSHITHA, KANKANALA CHETAN RAJA, MALAPATI RAVI TEJA REDDY
Domain : Data Science / IoT
Abstract The higher risk of passenger safety, loss of productivity, increase in fuel consumption, and pollution is all effects of urban traffic congestion. Efficient traffic management will reduce congestion, improve performance measurements for seamless traffic flow, and proficiently manage current roadway assets. Government organizations and administrative authorities are implementing coordinated traffic signals and variable messages to manage traffic network congestion. By implementing big data solutions, administrators can leverage historical trends, a combination of real-time information, and new-age algorithms to improve and traffic networks in urban areas. The growing focus on the development of intelligent network systems and the use of big data analytics will assist the traffic management and result in reduced congestions and roadblocks. The big data analytics by Quantizing helps service providers in the mobile services industry to analyze the efficiency of the current transportation system, estimate the transport models, and predict future network scenarios. These systems are designed to help reduce network congestion and act as alerts that notify traffic authorities of potential roadblocks.
 
Project Title : ENTERTAINMENT TRENDS
Project  Id : 16DS-A10
Guide Details : Mr K K Swamy
Assistant Professor
Team Members : AVULA PRUTHVI, THUMUKUNTLA GNANI PRASAD REDDY, BOYIKAR UDAYKIRAN, PRODDATURI SHANTHAN
Domain : Data Science / IoT
Abstract This project is about analyzing the user generated data to give a clear understanding of a selected city preferences to the media moguls. The media industry has tremendous scope for growth in all the segments due to rising incomes and evolving lifestyles. The world of business is spreading all over the planet and it is very important for a city to accommodate the changes of the public interests and bring in the content that is being streamed more. In the process of analyzing the public interests we intelligently analyze and visualize various user interests in terms of music, movies. This analyzed data will help the media moguls to be established and accommodate the user interests.
 
Project Title : EDU ANALYZER
Project  Id : 16DS-A11
Guide Details : Mr K K Swamy
Assistant Professor
Team Members : GADDAM NIHARIKA, CHINTALACHERUVU SRAVANTH KUMAR, DANEPALLI VINAY, MACHARLA LIKITHA
Domain : Data Science / IoT
Abstract There are considerable differences in the practices followed in public and private educational sector. Some of the considerable factors are equipment, labs, curriculum, student dropout rates, failure rates and success rates. Using this project, we can measure the impact of the factors on the outcomes of the educational sectors. This model is used to take necessary steps to improve and stabilize the educational aspects.
 
Project Title : FACE DETECTION BASED ATTENDANCE SYSTEM FOR UNIVERSITY
Project  Id : 16DS-A12
Guide Details : Ms S Shobarani
Assistant Professor
Team Members : DUDDU VAMSHI, GUDIPATI PRAVALLIKA, BANDARU SAKETH, KANCHARLA NITHESH
Domain : Data Science / IoT
Abstract Maintaining the attendance is essential in every Foundation for checking the performance of students as well as employee. Each organization has its own technique. Traditionally student’s attendance is taken physically on attendance register or sheet, given by the professor in class. These stamping techniques are repetitive and tedious. Physically recorded participation can be effortlessly controlled. Besides, it is exceptionally hard to confirm one by one student in a substantial classroom environment with disseminated branches whether the verified students are really reacting or not.
Project Title : PREDICTIVE ANALYSIS FOR DETERMINING SAFETY OF A CITY
Project  Id : 16DS-A13
Guide Details : S Shobarani
Assistant Professor
Team Members : TORPUNURI ROHIT SIMHA, ABHISHEK SRINIVAS SUNKARA, JETTY RAJIV CHANDRA, KATIPALLY VIGHNESHWAR REDDY
Domain : Data Science / IoT
Abstract CT: Why do people feel safer in some cities than others? Is it a function of actual crime or of other factors that shape the way we perceive cities. There could be various factors responsible for calling a smart city as a safe city. In our point of view, analyzing data on such factors and predicting the safety and security of the cities would be a delightful solution for both migrants and immigrants. Our main focus is to intelligently analyze and visualize some of the constraints like crime rate, pollution, no of accidents in the city and psychology of the people. Using some of the techniques of data science and data mining we can thoroughly serialize and merge such data and present it to the people who are in a dilemma for transmigration.
 
Project Title : AIR QUALITY PREDICTION
Project  Id : 16DS-A14
Guide Details : Dr Y Vijay Bhaskar Reddy
Assistant Professor
Team Members : PONNAGANTI SAI BABU, RUDRA SATWIK, BAKKI SANKEERTH, MOHAMMAD AFROZ
Domain : Data Science / IoT
Abstract Nowadays we can observe many parts of India are deadly affected with pollution. The harmful gases such as NO2 and SO2 content in the air have been increasing rapidly. This could be predicted with pollution sensors, although they can be expensive to deploy at scale. Our goal was to design a reliable and inexpensive air quality estimation solution, accessible to everyone through a web interface. In this project, we are going to analyze the dataset which consists of all the measured parameters and compared to the Air Quality Index (AQI). Based on the values in AQI the respective prediction is made on that particular city. Hence, people living in that city will understand the quality of the air they are breathing.
 
Project Title : BS-Helper
Project  Id : 16DS-A15
Guide Details : Dr Y Vijay Bhaskar Reddy
Assistant Professor
Team Members : NIDAMANURU SRAVANI CHOWDARY, GUMMADAVELLY SAIDEEP, PEDARAGALLA ASHOKA CHAKRAVARTHI
Domain : Data Science / IoT
Abstract The platform BS-Helper reduces the work of maintaining the system and generates the report that provide details and suggestions for optimal use of available bike resources.
 
Project Title : Generating Sales Document Report Using Hierarchical ALV
Project  Id : 16SAP-A16
Guide Details : Ms T. Madhuri
Assistant Professor
Team Members : P KALYAN BHUSHAN, SHREYA SRIVASTAVA, E AKHILESH
Domain : SAP
Abstract SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. The common desired features of any report are sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). SAP provides a set of ALV function modules, which can be put into use to embellish the output of report. This set of ALV functions is used to enhance the readability and functionality of any report output. Hierarchical ALV List is a way to display data in form of hierarchy. Hierarchical display is used for displaying data that are related, like sales order and item details. Here sales order details can be the header data whereas them items in the sales order can be the item data.
 
Project Title : GENERATING CUSTOMER, PURCHASE AND MATERIAL REPORT USING CLASSICAL REPORTS
Project  Id : 16SAP-A17
Guide Details : Dr K. Prabhakar
Assistant Professor
Team Members : THANUGULA PAVAN KUMAR, NUNE SRI HARSHINI PATEL, PATWARI ROHIT KUMAR
Domain : SAP
Abstract The validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.
Project Title : POLLUTION MONITORING SYSTEM
Project Id : 16CC-B1
Guide Details : Ms G. Madhavi
Assistant Professor
Team Members : LAGISHETTY VASAVI, KATTA NEEHARIKA, RAMAVATH SHIVA, ROYYA AJAY KUMAR, CHALLA AKHILA
Domain : Cloud / IoT
Abstract Pollution affects our day to day activities and quality of life. It poses a threat to the ecosystem and the quality of life on the planet. People need to know the extent to which their activities affect the quality of atmosphere. This project proposes pollution monitoring system. It is used to monitor the pollution at multiple locations. The system was developed using the Iot software. The pollution monitoring system was designed to monitor and analyze quality of atmosphere in real-time. We take the data from the database which is stored in the cloud. We will update the data over the internet. We can take the data from the cloud for further analysis. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.
Project Title : AUTO-SCALING WORKLOADS BASED ON RESOURCE USAGE
Project Id : 16CC-B2
Guide Details : Mr M A Ranjith Kumar
Assistant Professor
Team Members : POTHULAPATI TARUN REDDY, DEEKSHITULA SREETEJA, CHALLA MANASA REDDY, SHREYA DODLA
Domain : Cloud / IoT
Abstract Most Applications that are deployed on the cloud are over provisioned causing unnecessary resource wastage. This is made to handle sudden spikes of traffic which can happen for both planned and un-planned scenarios. In this project, we provide an application agnostic way of scaling workloads based on a configured metric using kubernetes, which is a Cloud Native, Container Orchestration platform and Prometheus. A Time Series Database. Using Kubernetes, we configure Horizontal Pod Auto-Scaler, to scale the application based on the different metrics I.e CPU, Memory, Queue Length, etc which are stored in Prometheus. With relevant configuration, Kubernetes automatically adds more instances/scales the application when the load or resource utilization is high, causing user requests to not fail and also improve latency. As Load on the application decreases, Kubernetes also notices that and removes instances of the application that are not necessary, thereby improving resource usage, and decreasing over-provisioning. The system shown in the project with a sample application agnostic (any type of workload) and metric agnostic (any metric based on the workload).
Project Title : GOVERNMENT SERVICE BOT
Project Id : 16CC-B3
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : GUMMADI PRIYANKA, TADAKAMALLA SHIVA KUMAR, RAMINI SANJANA, VEMPALLY NISHAR\
Domain : Cloud / IoT
Abstract This project helps the people all over India to find suitable website or web service or other service regarding the government schemes, government websites, government services across India. Many people are unaware of government services and schemes. Even if they know about the schemes and services, they are not knowing about the exact procedure to avail the schemes and services of government. Unfortunately, there are a lot of other sites in the internet which misleads the people. There are so many phishing sites and duplicate sites in the internet today. The goal of this project is to give proper guidance to people from being targeted to duplicated and fishy websites and also to make their process easy. Our project provides a common interface which helps people in all the ways to avail the government scheme. We provide a bot (A chat bot which interact with humans),which will be available in all chat application like messenger, whatsapp, slack etc. So,we can direct them to proper solution with the help of our site and bot.
Project Title : HealthVault – A Smart healthcare platform
Project Id : 16CC-B4
Guide Details : Mr Pallati Narsimhulu
Assistant Professor
Team Members : GANNEPAGA SRI DEVI, MOHD AZHAR, MD BURHANUDDIN SHAIKH, ALIMINETI RAKSHA REDDY
Domain : Cloud / IoT
Abstract The goal behind developing a smart city is to improve the lives of its citizens and smart healthcare plays a significant role in achieving this objective. As per a report from Transparency Market Research, the global smart healthcare product market is expected to reach $57.85 billion by 2023. Health Vault is an independent cloud application which stores a patient’s medical records, prescriptions, diagnostic reports and vital’s history. A Patient’s medical history is a very sensitive information which only a patient should have control over and Health Vault empowers a patient to control his health data, he/she can choose who can view it and to what extent. Today multi specialty hospitals have their own application suite to store their patients record but the control of this sensitive and private data lies in the hands of the hospital. The patient can only access it, he/she cannot share the same health data directly through the application, hence there isa need for an independent platform which gives control of such personal and sensitive data in the hands of the user. Privacy. That’s Health Vault.
Project Title : DROWSY DRIVER ALERT SYSTEM
Project Id : 16DS-B5
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : ANKATI PRAVALIKA, SHANKARPANDYAN BHAVANA, VEMULA SAI KRISHNA VAMSHI, CHADA RADHEESH REDDY
Domain : Data Science / IoT
Abstract The main idea behind this project is to develop a detection system which can detect fatigue of any human and can issue a timely warning. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough. According to the expert’s studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. This system will monitor the driver eyes using a camera and by developing an algorithm we can detect symptoms of driver fatigue early enough to avoid the person from sleeping. So, this project will be helpful in detecting driver fatigue in advance and will give warning output in form of alarm. It will detect drowsiness of the driver and warn him before fall into sleep. It helps to prevent accidents that are caused by drivers who fell asleep while driving.
Project Title : SARAMSH
Project Id : 16DS-B6
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : KURUGANTI CHIRANJEEVI KARTHIK, CHOPPARA NAGASATHVIK SURAM, GOGINENI SREERAM PRUDHVI, PAGIDI MUNTHALA VIVEK
Domain : Data Science / IoT
Abstract Our project aims at developing an API which takes a text and generates a summary out of it. The tools that are required for the project are built from scratch to provide flexibility and customizability. Text summarization is achieved by extractive text summarization using TF-IDF. Where summaries are generated by identifying the important sections of original text and extracting them. This API could be used anywhere which promote operational efficiency. By using this API one could summarize huge chunks of text or emails or even a text file.
Project Title : HAND WRITTEN DIGIT RECOGNITION
Project Id : 16DS-B7
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : AKARAM KIRAN MAI, ALISHALA NAVYA SRI, PILLI BILWAKSHI, KAYITHI SHIVAPRASAD REDDY, MURIMADUGULA SHIVA PRASAD
Domain : Data Science / IoT
Abstract Neural networks and deep learning are two success stories in modern artificial intelligence. They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars. Handwriting recognition is one of the compelling and fascinating works because every individual in this world has their own style of writing. Sometimes it is not possible to recognize the digits written by the people. In real-time applications like bank check processing, number plate recognition. The capability of the computer is to recognize and identify and understand handwritten digits automatically. The accuracy and correctness are very crucial in handwritten digit recognition. Even small error may lead to inappropriate results in real-time applications. Handwritten digit recognition helps to provide the accurate results.
Project Title : Accident Alert System
Project Id : 16DS-B8
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : NAMA ALEKHYA, V HEMANTH KUMAR, RAMANCHA MOHANAKRISHNA, KONTHAM BHARATH CHANDRA
Domain : Data Science / IoT
Abstract The main aim of the project is, to analyze the road accidents in India and predict the accident-prone areas. This analysis helps the users to know about the accident-prone areas and can take preventive measures to avoid accidents. The application is developed in such a way that it locates the current position of the vehicle while traveling and then calculates the accident percentage in that area. If the current location is very prone to the accident then it alerts the user about the location so, the user can be safe while driving at those areas.
Project Title : PROCESS PIPELINE TO SOLVE EMPLOYEE ATTRITION AND THEIR JOB PERFORMANCE AND PREDICTION WITH AI
Project Id : 16DS-B9
Guide Details : Mr. Mallu Praveen
Assistant Professor
Team Members : SALLA SHIVATEJA VAISHNAVA DEEPA YAMSANI, JAMMULA NITHYA SRI REDDY, CHAVAN NAVEEN
Domain : Data Science / IoT
Abstract Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data.
Now a day’s data science predictions are used in IT industries, for the improvement in market investment, employee management etc. Retention of valuable employees within an organization has become an important issue as it is hard to find out the reasons that why employees are leaving an organization and keep them satisfied is a big challenge, for this a report is made to predict the retention of an employee in an organization using the python programming with data science methods.
The main idea of this report is to find out that which valuable employee will leave the company and the features which are affecting him/her to making this decision like salary level, no. of hours spending in week, promotion, no. of work accident etc. The application was developed in python programming and are made with the help of data science and machine learning models.
Project Title : SALARY PACKAGE PREDICTOR
Project Id : 16DS-B10
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : POOJITHA D NAIDU, PADAKANTI SUDHEER KUMAR, V SAI TEJA, K M ANUDEEP YADAV
Domain : Data Science / IoT
Abstract : The main idea of the project is to develop a website which takes inputs(i. e dept, cgpa) as the testing data and predict the results, for training the data(i.e dept, cgpa, salary) we take previous years records and choose the best suitable algorithm(i.e the one which gives efficient accuracy) and train the model. The predicted results will be displayed on the screen with some suggestions in it. Finally the website will be hosted so that everyone can predict and prepare accordingly.
Project Title : GENERATING BON VOYAGE REPORTS USING STANDARD PACKAGE
Project Id : 16SAP-B11
Guide Details : Mr Para Upendar
Assistant Professor
Team Members : PENDYALA SRI DIVYA, VUPPALA SOUMYA, HEMANTH KUMAR E, GUMMADI NISSY JOY
Domain : SAP
Abstract Now-a-days, Due to increase in technology and demand of transport which also includes transport by air. Transport by air is mainly about flights, there are many airlines. Every airline has their own prices, timings, destinations, currencies, types, capacity, occupied seats etc. This report gives you complete details about different airlines and their features. This report gives detailed flight data in each and every aspect. The database is being maintained with the flight data and report is generated using standard packages for example SLIS and display in ALV form (ABAP List Viewer). SLIS is the type library for ALV grid and also contains many inbuilt modules. ALV gives us a standard List format and user interface to all our ABAP reports. ALV is created by a set of standard function modules provided by SAP. This also allows the user to sort the data in the report according to their priorities or requirements.
Project Title : Multiple reports using ALV
Project Id : 16SAP-B12
Guide Details : Mr V N L N Murthy
Assistant Professor
Team Members : VELUMULA SURAJ KUMAR, KOLLIPARA DIVYA SREE, SEELAM NITHIN REDDY, DODDA SRI SAI BHARATH REDDY
Domain : SAP
Abstract A SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. Execution of a SAP report almost never leads to an update of the database. The common desired features of any report are “column alignment”, sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). List Viewer is a generic tool that outputs data in a table form (rows and columns), with integrated functions to manipulate output (sort, totals, filter, column order, hide, etc.) and export it (Excel, Crystal report, CSV files, etc.) Simple report has features of sorting and filtering only but this is used to generate a single report if you have to display more than one report on the output. Technically speaking if you have multiple internal tables with data to be displayed as separate blocks then we go for block report of ALV.
Project Title : GENERATING EMPLOYEE’S LEAVE SANCTION CERTIFICATE USING SAP
Project Id : 16SAP-B13
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : C SANKHYA REDDY, ALLADA MAYUKA, SAKINALA NAVEEN, KODIGANTI POOJA REDDY
Domain : SAP
Abstract Usually the application of leave in education institutes and workplace is a long process. This refers to applying for leave through an email to the manager, waiting for them to respond and this process is inconvenient to both the manager and the applicant. To make this an easy process we suggest the generation of employee’s leave sanction certificate which lessens the burden. This includes generation of a pdf form that responds to the leave application. We propose that the generation of the Pdf form is done using SAP tools since it can be beneficial. The usage of the
pdf forms for sanctioning leave can save a lot of paperwork and makes it easier to apply for a leave
Project Title : GENERATE MATERIAL DOCUMENT REPORT USING INTERNAL TABLE EVENTS
Project Id : 16SAP-B14
Guide Details : Mr Shrawan Kumar
Assistant Professor
Team Members : KUNDURU MADHAV REDDY, MARNENI KUSHAL RAO, GUJJARLAMUDI AJITH KUMAR, R S LOKESH
Domain : SAP
Abstract Material documents in SAP are issued or generated from or received into inventory. The documents are created only by materials management in each firm and not by the end users. The material document review obtains the analysis and results from the firms data using the internal tables. The generation includes update and control field display and type of transaction. The logistics management can be formed using SAP easy access menu. We can generate material documents which involve issuing of goods and also the reference. The internal table events include AT START and AT END OF among other events that we implement. We use pre-defined and internal table events that we use to implement the generation of the material documents that use
Project Title : TO DO VERIFICATION AND VALIDATION ON SALES APPLICATION USING DYNPRO ABAP
Project Id : 16SAP-B15
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : GADDAM SIDDARTH REDDY, M PAVAN NAIK, CHANDA NAGENDRA RISHI RAJ, DUBYALA SAI RAHUL
Domain : SAp
Abstract He validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.
Project Title : POLLUTION MONITORING SYSTEM
Project  Id : 16CC-B1
Guide Details : Ms G. Madhavi
Assistant Professor
Team Members : LAGISHETTY VASAVI, KATTA NEEHARIKA, RAMAVATH SHIVA, ROYYA AJAY KUMAR, CHALLA AKHILA
Domain : Cloud / IoT
Abstract Pollution affects our day to day activities and quality of life. It poses a threat to the ecosystem and the quality of life on the planet. People need to know the extent to which their activities affect the quality of atmosphere. This project proposes pollution monitoring system. It is used to monitor the pollution at multiple locations. The system was developed using the Iot software. The pollution monitoring system was designed to monitor and analyze quality of atmosphere in real-time. We take the data from the database which is stored in the cloud. We will update the data over the internet. We can take the data from the cloud for further analysis. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.
 
Project Title : AUTO-SCALING WORKLOADS BASED ON RESOURCE USAGE
Project  Id : 16CC-B2
Guide Details : Mr M A Ranjith Kumar
Assistant Professor
Team Members : POTHULAPATI TARUN REDDY, DEEKSHITULA SREETEJA, CHALLA MANASA REDDY, SHREYA DODLA
Domain : Cloud / IoT
Abstract Most Applications that are deployed on the cloud are over provisioned causing unnecessary resource wastage. This is made to handle sudden spikes of traffic which can happen for both planned and un-planned scenarios. In this project, we provide an application agnostic way of scaling workloads based on a configured metric using kubernetes, which is a Cloud Native, Container Orchestration platform and Prometheus. A Time Series Database. Using Kubernetes, we configure Horizontal Pod Auto-Scaler, to scale the application based on the different metrics I.e CPU, Memory, Queue Length, etc which are stored in Prometheus. With relevant configuration, Kubernetes automatically adds more instances/scales the application when the load or resource utilization is high, causing user requests to not fail and also improve latency. As Load on the application decreases, Kubernetes also notices that and removes instances of the application that are not necessary, thereby improving resource usage, and decreasing over-provisioning. The system shown in the project with a sample application agnostic (any type of workload) and metric agnostic (any metric based on the workload).
 
Project Title : GOVERNMENT SERVICE BOT
Project  Id : 16CC-B3
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : GUMMADI PRIYANKA, TADAKAMALLA SHIVA KUMAR, RAMINI SANJANA, VEMPALLY NISHAR\
Domain : Cloud / IoT
Abstract This project helps the people all over India to find suitable website or web service or other service regarding the government schemes, government websites, government services across India. Many people are unaware of government services and schemes. Even if they know about the schemes and services, they are not knowing about the exact procedure to avail the schemes and services of government. Unfortunately, there are a lot of other sites in the internet which misleads the people. There are so many phishing sites and duplicate sites in the internet today. The goal of this project is to give proper guidance to people from being targeted to duplicated and fishy websites and also to make their process easy. Our project provides a common interface which helps people in all the ways to avail the government scheme. We provide a bot (A chat bot which interact with humans),which will be available in all chat application like messenger, whatsapp, slack etc. So,we can direct them to proper solution with the help of our site and bot.
 
Project Title : HealthVault – A Smart healthcare platform
Project  Id : 16CC-B4
Guide Details : Mr Pallati Narsimhulu
Assistant Professor
Team Members : GANNEPAGA SRI DEVI, MOHD AZHAR, MD BURHANUDDIN SHAIKH, ALIMINETI RAKSHA REDDY
Domain : Cloud / IoT
Abstract The goal behind developing a smart city is to improve the lives of its citizens and smart healthcare plays a significant role in achieving this objective. As per a report from Transparency Market Research, the global smart healthcare product market is expected to reach $57.85 billion by 2023. Health Vault is an independent cloud application which stores a patient’s medical records, prescriptions, diagnostic reports and vital’s history. A Patient’s medical history is a very sensitive information which only a patient should have control over and Health Vault empowers a patient to control his health data, he/she can choose who can view it and to what extent. Today multi specialty hospitals have their own application suite to store their patients record but the control of this sensitive and private data lies in the hands of the hospital. The patient can only access it, he/she cannot share the same health data directly through the application, hence there isa need for an independent platform which gives control of such personal and sensitive data in the hands of the user. Privacy. That’s Health Vault.
 
Project Title : DROWSY DRIVER ALERT SYSTEM
Project  Id : 16DS-B5
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : ANKATI PRAVALIKA, SHANKARPANDYAN BHAVANA, VEMULA SAI KRISHNA VAMSHI, CHADA RADHEESH REDDY
Domain : Data Science / IoT
Abstract The main idea behind this project is to develop a detection system which can detect fatigue of any human and can issue a timely warning. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough. According to the expert’s studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. This system will monitor the driver eyes using a camera and by developing an algorithm we can detect symptoms of driver fatigue early enough to avoid the person from sleeping. So, this project will be helpful in detecting driver fatigue in advance and will give warning output in form of alarm. It will detect drowsiness of the driver and warn him before fall into sleep. It helps to prevent accidents that are caused by drivers who fell asleep while driving.
 
Project Title : SARAMSH
Project  Id : 16DS-B6
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : KURUGANTI CHIRANJEEVI KARTHIK, CHOPPARA NAGASATHVIK SURAM, GOGINENI SREERAM PRUDHVI, PAGIDI MUNTHALA VIVEK
Domain : Data Science / IoT
Abstract Our project aims at developing an API which takes a text and generates a summary out of it. The tools that are required for the project are built from scratch to provide flexibility and customizability. Text summarization is achieved by extractive text summarization using TF-IDF. Where summaries are generated by identifying the important sections of original text and extracting them. This API could be used anywhere which promote operational efficiency. By using this API one could summarize huge chunks of text or emails or even a text file.
 
Project Title : HAND WRITTEN DIGIT RECOGNITION
Project  Id : 16DS-B7
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : AKARAM KIRAN MAI, ALISHALA NAVYA SRI, PILLI BILWAKSHI, KAYITHI SHIVAPRASAD REDDY, MURIMADUGULA SHIVA PRASAD
Domain : Data Science / IoT
Abstract Neural networks and deep learning are two success stories in modern artificial intelligence. They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars. Handwriting recognition is one of the compelling and fascinating works because every individual in this world has their own style of writing. Sometimes it is not possible to recognize the digits written by the people. In real-time applications like bank check processing, number plate recognition. The capability of the computer is to recognize and identify and understand handwritten digits automatically. The accuracy and correctness are very crucial in handwritten digit recognition. Even small error may lead to inappropriate results in real-time applications. Handwritten digit recognition helps to provide the accurate results.
 
Project Title : Accident Alert System
Project  Id : 16DS-B8
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : NAMA ALEKHYA, V HEMANTH KUMAR, RAMANCHA MOHANAKRISHNA, KONTHAM BHARATH CHANDRA
Domain : Data Science / IoT
Abstract The main aim of the project is, to analyze the road accidents in India and predict the accident-prone areas. This analysis helps the users to know about the accident-prone areas and can take preventive measures to avoid accidents. The application is developed in such a way that it locates the current position of the vehicle while traveling and then calculates the accident percentage in that area. If the current location is very prone to the accident then it alerts the user about the location so, the user can be safe while driving at those areas.
 
Project Title : PROCESS PIPELINE TO SOLVE EMPLOYEE ATTRITION AND THEIR JOB PERFORMANCE AND PREDICTION WITH AI
Project  Id : 16DS-B9
Guide Details : Mr. Mallu Praveen
Assistant Professor
Team Members : SALLA SHIVATEJA VAISHNAVA DEEPA YAMSANI, JAMMULA NITHYA SRI REDDY, CHAVAN NAVEEN
Domain : Data Science / IoT
Abstract Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data.Now a day’s data science predictions are used in IT industries, for the improvement in market investment, employee management etc. Retention of valuable employees within an organization has become an important issue as it is hard to find out the reasons that why employees are leaving an organization and keep them satisfied is a big challenge, for this a report is made to predict the retention of an employee in an organization using the python programming with data science methods.

The main idea of this report is to find out that which valuable employee will leave the company and the features which are affecting him/her to making this decision like salary level, no. of hours spending in week, promotion, no. of work accident etc. The application was developed in python programming and are made with the help of data science and machine learning models.

 
Project Title : SALARY PACKAGE PREDICTOR
Project  Id : 16DS-B10
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : POOJITHA D NAIDU, PADAKANTI SUDHEER KUMAR, V SAI TEJA, K M ANUDEEP YADAV
Domain : Data Science / IoT
Abstract : The main idea of the project is to develop a website which takes inputs(i. e dept, cgpa) as the testing data and predict the results, for training the data(i.e dept, cgpa, salary) we take previous years records and choose the best suitable algorithm(i.e the one which gives efficient accuracy) and train the model. The predicted results will be displayed on the screen with some suggestions in it. Finally the website will be hosted so that everyone can predict and prepare accordingly.
 
Project Title : GENERATING BON VOYAGE REPORTS USING STANDARD PACKAGE
Project  Id : 16SAP-B11
Guide Details : Mr Para Upendar
Assistant Professor
Team Members : PENDYALA SRI DIVYA, VUPPALA SOUMYA, HEMANTH KUMAR E, GUMMADI NISSY JOY
Domain : SAP
Abstract Now-a-days, Due to increase in technology and demand of transport which also includes transport by air. Transport by air is mainly about flights, there are many airlines. Every airline has their own prices, timings, destinations, currencies, types, capacity, occupied seats etc. This report gives you complete details about different airlines and their features. This report gives detailed flight data in each and every aspect. The database is being maintained with the flight data and report is generated using standard packages for example SLIS and display in ALV form (ABAP List Viewer). SLIS is the type library for ALV grid and also contains many inbuilt modules. ALV gives us a standard List format and user interface to all our ABAP reports. ALV is created by a set of standard function modules provided by SAP. This also allows the user to sort the data in the report according to their priorities or requirements.
 
Project Title : Multiple reports using ALV
Project  Id : 16SAP-B12
Guide Details : Mr V N L N Murthy
Assistant Professor
Team Members : VELUMULA SURAJ KUMAR, KOLLIPARA DIVYA SREE, SEELAM NITHIN REDDY, DODDA SRI SAI BHARATH REDDY
Domain : SAP
Abstract A SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. Execution of a SAP report almost never leads to an update of the database. The common desired features of any report are “column alignment”, sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). List Viewer is a generic tool that outputs data in a table form (rows and columns), with integrated functions to manipulate output (sort, totals, filter, column order, hide, etc.) and export it (Excel, Crystal report, CSV files, etc.) Simple report has features of sorting and filtering only but this is used to generate a single report if you have to display more than one report on the output. Technically speaking if you have multiple internal tables with data to be displayed as separate blocks then we go for block report of ALV.
 
Project Title : GENERATING EMPLOYEE’S LEAVE SANCTION CERTIFICATE USING SAP
Project  Id : 16SAP-B13
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : C SANKHYA REDDY, ALLADA MAYUKA, SAKINALA NAVEEN, KODIGANTI POOJA REDDY
Domain : SAP
Abstract Usually the application of leave in education institutes and workplace is a long process. This refers to applying for leave through an email to the manager, waiting for them to respond and this process is inconvenient to both the manager and the applicant. To make this an easy process we suggest the generation of employee’s leave sanction certificate which lessens the burden. This includes generation of a pdf form that responds to the leave application. We propose that the generation of the Pdf form is done using SAP tools since it can be beneficial. The usage of the
pdf forms for sanctioning leave can save a lot of paperwork and makes it easier to apply for a leave
 
Project Title : GENERATE MATERIAL DOCUMENT REPORT USING INTERNAL TABLE EVENTS
Project  Id : 16SAP-B14
Guide Details : Mr Shrawan Kumar
Assistant Professor
Team Members : KUNDURU MADHAV REDDY, MARNENI KUSHAL RAO, GUJJARLAMUDI AJITH KUMAR, R S LOKESH
Domain : SAP
Abstract Material documents in SAP are issued or generated from or received into inventory. The documents are created only by materials management in each firm and not by the end users. The material document review obtains the analysis and results from the firms data using the internal tables. The generation includes update and control field display and type of transaction. The logistics management can be formed using SAP easy access menu. We can generate material documents which involve issuing of goods and also the reference. The internal table events include AT START and AT END OF among other events that we implement. We use pre-defined and internal table events that we use to implement the generation of the material documents that use
 
Project Title : TO DO VERIFICATION AND VALIDATION ON SALES APPLICATION USING DYNPRO ABAP
Project  Id : 16SAP-B15
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : GADDAM SIDDARTH REDDY, M PAVAN NAIK, CHANDA NAGENDRA RISHI RAJ, DUBYALA SAI RAHUL
Domain : SAp
Abstract He validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.

 

 
Project Title : AUTOMATED STREET LIGHTING SYSTEM
Project  Id : 16CC-C1
Guide Details : Mr . S K Prashanth
Assistant Professor
Team Members : VANAMA NAMITHA, KOTIKA LEELAVATHI, PASHAM SANTHOSHA, MOLUGURI SRAVAN KUMAR
Domain : Cloud / IoT
Abstract The project aims to provide concerned person to switch on or off through the application. This will be integrated with cloud computing. In cloud server there will be a set of rules and regulations such as first light and last light and when to switch on/off those street light. As the traffic decreases slowly during late-night hours, the intensity gets reduced progressively till morning to save energy and thus, the street lights switch on at the dusk and then switch off at the dawn, automatically.
 
Project Title : VAYU: A REAL-TIME POLLUTION MONITORING DASHBOARD AND ALERTING SYSTEM:
Project  Id : 16CC-C2
Guide Details : Dr S. Shitharth
Assistant Professor
Team Members : KUKKADAPU SREEJA, PALLE ANIKETH REDDY, PATURI SRI PRAVAN, MOHAMMED KHALID ROSHAN
Domain : Cloud / IoT
Abstract A cloud-based system that monitors urban pollution statistics and generates alerts about the real-time pollution statistics and the AQI (Air Quality Index) based on the geolocation of the user at any given place or time. Air pollution has always been one of the major urban problems that Indian cities face today. A smart city is all about being data driven in tackling common urban problems; this includes collecting data, computing metrics over the collected data and gathering insights to make useful decisions. Hence, to compute metrics and gather insights, it uses Prometheus, open-source Time Series Database that allows us to periodically pull data from a source (provided by the Central Pollution Control Board, Govt. of India) and compute metrics. To gather useful insights over this data, it uses Grafana, an open-source analytics and monitoring solution that plugs into Prometheus and provides attractive and useful visual representations of this data. Both these cloud platforms are Cloud Native Computing Foundation graduated projects which speaks volumes about their utility and robustness. It also leverages Prometheus’ alerting manager that allows us to alert users if the pollution levels in their area exceed the warning range, thereby enabling common citizens and at-risk groups suffering from respiratory ailments to stay vigilant about their health.
 
Project Title : HATEFUL SPEECH ON TWITTER
Project  Id : 16DS-C3
Guide Details : Ms G. Madhavi
Assistant Professor
Team Members : VANKA NIHARIKA, BUDIDI BHAVYA SREE RAMYA, MARRI BADRINATH REDDY, THUGUDAM NARESH
Domain : Data Science / IoT
Abstract With the rapid growth of social networks and microblogging websites, communication between people from different cultural and psychological backgrounds became more direct, resulting in more and more “cyber” conflicts between these people. Consequently, hate speech is used more and more, to the point where it became a serious problem invading these open spaces. Hate speech refers to the use of aggressive, violent or offensive language, targeting a specific group of people sharing a common property, whether this property is their gender (i.e., sexism), their ethnic group or race (i.e., racism) or their believes and religion, etc. While most of the online social networks and microblogging websites forbid the use of hate speech, the size of these networks and websites makes it almost impossible to control all of their content.Therefore, arises the necessity to detect such speech automatically and filter any content that presents hateful language or language inciting to hatred.
 
Project Title : SEGREGATING SPAMMERS AND UNSOLICITED BLOGGERS FROM GENUINE EXPERTS ON TWITTER
Project  Id : 16DS-C4
Guide Details : Ms B. Mahalakshmi
Assistant Professor
Team Members : VORUGANTI VISHWANATHA, SHANMUKHA SHASTRY, BANDA SRIHARSHA, RATNA KUMAR, ANDHE GOUTHAM SAI KUMAR
Domain : Data Science / IoT
Abstract Online Social Networks (OSNs) have not only significantly reformed the social interaction pattern but have also emerged as an effective platform for recommendation of services and products. The upswing in use of the OSNs has also witnessed growth in unwanted activities on social media. On the one hand, the spammers on social media can be a high risk towards the security of legitimate users and on the other hand some of the legitimate users, such as bloggers can pollute the results of recommendation systems that work alongside the OSNs. The polluted results of recommendation systems can be precarious to the masses that track recommendations. Therefore, it is necessary to segregate such type of users from the genuine experts. We propose a framework that separates the spammers and unsolicited bloggers from the genuine experts of a specific domain. The proposed approach employs modified Hyperlink Induced Topic Search (HITS) to separate the unsolicited bloggers from the experts on Twitter on the basis of tweets. The approach considers domain specific keywords in the tweets and several tweet characteristics to identify the unsolicited bloggers. Experimental results demonstrate the effectiveness of the proposed methodology as compared to several state-of-the-art approaches and classifiers.
 
Project Title : PARKCROWD
Project  Id : 16DS-C5
Guide Details : Mr Adavelli Ramesh
Assistant Professor
Team Members : JANGILI SHIRISHA, BALURI SUCHITH REDDY, MYADAM SAISANKEERTH, DEVA JAYANTH
Domain : Data Science / IoT
Abstract With the increasing numbers of automobiles in cities, finding a parking space which is close to one’s driving destination is costly, time-consuming, and contributes to traffic congestion in urban areas . These problems are especially extreme in the case of on-demand parking in metropolitan centers and densely populated areas around the world. Therefore, there is a strong need to disseminate availability information of vacant parking spaces.The scarcity of parking spaces in cities leads to a high demand for timely information about their availability. In this paper, we propose a crowd sensed parking system, namely Park Crowd, to aggregate on-street and roadside parking space information reliably, and to disseminate this information to drivers in a timely manner.

Our system not only collects and disseminates basic information, such as parking hours and price, but also provides drivers with information on the real time and future availability of parking spaces based on aggregated crowd knowledge. Moreover, to incentive crowd workers’ participation as well as to encourage them to provide more reliable information, we build an incentivization scheme into Park-Crowd to reward workers based on the reliability of contributed knowledge. We design Park-Crowd, an MCS system for collecting and disseminating vacant parking space information based on crowd workers’ knowledge.

We build models to evaluate the reliability of the crowd workers’ knowledge and estimate future parking space Availability based on workers’ knowledge using location dependent POI questions. We also propose a scheme to reward workers based on the reliability of contributed knowledge.

 
Project Title : ONLINE CRIME REPORTING SYSTEM
Project  Id : 16DS-C6
Guide Details : Mr Adavelli Ramesh
Assistant Professor
Team Members : KUNCHALA SUCHARITHA REDDY, MAREPALLY NIKHITHA, TAPSI PAVAN KUMAR, KARRE SHARATH CHANDRA KARTHIK
Domain : Data Science / IoT
Abstract Crime is a part of illegal activities in human life. It is quite obvious that the rate of crimes is increasing day by day in all societies across the world, but we do believe that there is a lot which can be done by both the governments and the individuals to reduce the crimes in communities. The rise of population and complex society rises the range of anti-social conducts that must be restricted by the government through the military and different organizations particularly the Police Force. There are many current crime management systems which faces several difficulties, as there is no means to report crime instantly other than phone calls, messaging or face-to-face compliant filing. Hence, we have proposed an online crime reporting
system which allows the user to file complaints or missing reports and keep a track of it. There are 3 categories that a user can file; Complaint, Crime Report and Missing Report and can see all the status of what action has been taken by the admin. To file any of the above 3 complaints, the user should register into the system and provide his right credentials to file them. The crime reporting system project also allows other users who do not want to register but can check the crimes happening at his/her or any other area, has just to provide the pin code and in return the system displays the list of crimes if any filed. The offline that is the unregistered user can also take advantage of checking the missing person details, but he/she is refrained from getting complaints done by the users.
 
Project Title : SMART TRAFFIC MANAGEMENT SYSTEM
Project  Id : 16DS-C7
Guide Details : Mr Muralidhar Mourya
Assistant Professor
Team Members : VANGAVETI YASHWANTH, JOOLURI RAJU, D PRABHU SHANKAR, M JESSICA
Domain : Data Science / IoT
Abstract Learning-based traffic control algorithms have recently been explored as an alternative to existing traffic control logic. The reinforcement learning (RL) algorithm is being spotlighted in the field of adaptive traffic signal control. However, no report has described the implementation of an RL-based algorithm in an actual intersection. Most previous RL studies adopted conventional traffic parameters, such as delays and queue lengths to represent a traffic state, which cannot be exactly measured on-site in real time. Furthermore, the traffic parameters cannot fully account for the complexity of an actual traffic state. The present study suggests a novel artificial intelligence that uses only video images of an intersection to represent its traffic state rather than using handcrafted features. In simulation experiments using a real intersection, consecutive aerial video frames fully addressed the traffic state of an independent four-legged intersection, and an image-based RL model outperformed both the actual operation of fixed signals and a fully actuated operation. In existing system, manually we need to control traffic by which side is having heavy traffic. Then that side put for green signal for long time. However, for every time not controlling traffic by manually due to timing (i.e. midnight), to overcome we use artificial intelligence for automatically the traffic will be controlled. To overcome the above problem in this system we are using object detection technique for detect vehicles. We are giving the input image which is containing heavy traffic then performing the detection technique on that image. It first calculates the percentage of vehicles from that image then it can control the traffic depends on threshold value (percentage).
 
Project Title : SMART FARMING
Project  Id : 16DS-C8
Guide Details : Mr Muralidhar Mourya
Assistant Professor
Team Members : GADDAM APOORVA, KADIYALA SAI, AMBARLA ABHISHEK, DAMALA GREESHMA
Domain : Data Science / IoT
Abstract Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil type, temperature, atmospheric pressure, humidity and crop type. Whereas, crop and weather forecasting can be predicted by deriving useful insights from these agricultural data that aids farmers to decide on the crop they would like to plant for the forthcoming year leading to maximum profit. This paper presents a survey on the various algorithms used for weather, crop yield, and crop cost prediction.
 
Project Title : IDENTIFYING ALERT ZONES USING REGRESSION ALGORITHMS
Project  Id : 16DS-C9
Guide Details : Mr A Bhanu Prasad
Assistant Professor
Team Members : VODELA SAISWAPNIL GUPTA, V PHALGUNI, G AKIL SAGAR, MOHAMMAD IMRAN
Domain : Data Science / IoT
Abstract Daily we see many accidents occur on roads, as an average 400 accidents occur in india per day. The reasons might be driver negligence or road problems. So we took a initiative to reduce the road accidents. To perform the action we gather data from different online sites (historical data) and perform cleaning and do apply the algorithms to train the data and test it to check the efficiency. Here when the user enters the accident prone area we send him a alert message so he may drive carefully before he enters the zone.
 
Project Title : COST PREDICTION AND DISEASE ANALYSIS IN HEALTHCARE
Project  Id : 16DS-C10
Guide Details : Mr A Bhanu Prasad
Assistant Professor
Team Members : KADEM SAI TEJA, DUGGARAJU KEERTHANA, SRIVILLA VISHNU, SYED SOHAIL AHMED
Domain : Data Science / IoT
Abstract The healthcare market has become competitive and complex and is increasing everyday. Healthcare Analytics is the process of getting, cleaning, analyzing and visualizing data collected from different organizations by which patients can be provided with enhanced health outcomes. The main objectives are: 1. To scrape data from websites and store them in Pandas dataframes, 2.Use classification algorithms like Decision tree and min-max normalization to predict total expense along with the type of disease and medicine, 3.Store the visualized data in a database and give user access through authorization. The main aim of this project is to provide predicted costs to people beforehand as well as give them easy access to their visualized health output in the form of a webpage interaction. There are three roles involved namely Data Analyst who collects and analyzes data, Web Developer who creates an interface for users and Database Administrator who maintains and gives permissions to users to access their final outputs. The technologies used are Python Libraries (Pandas, Matplotlib, Seaborn,Scikit-learn),HTML5,CSS,PHP and Localhost Server.
 
Project Title : SMART CITY TRAVELLING
Project  Id : 16DS-C11
Guide Details : Dr Ramu Kuchipudi
Assistant Professor
Team Members : B ABHISHEK, BALAGONOLLA KARUNAKAR,BALNE AJAY, B KIRANKUMAR
Domain : Data Science / IoT
Abstract Smart City Travelling by the Name indicated smartly makes it way in analyzing the user’s likes and dislikes and the time period the user is willing to explore a place and gives him with Amazing results in the form of different paths to utilize the time. This System is basically used to help a traveler new to the city or anyone who wants to explore a city in the given time period, the system makes use of the “Foursquare” API to get all the locations and places with all their information to sort and place it before the user in different paths to make his choice. The Places are sorted and selected based on the top raking’s by the foursquare. During the user Registration the user is asked some questions helping them to filter out in searching the places, the places are displayed on the maps giving a clear idea of the location and giving the paths from one place to another from the start location to the end location. ”It will be asking the particular time to visit the single place so that automatically the end time may also predicted. Same for the remaining places also. So completely the plan start time decided by user. Based on the time allocated by the user for all the places, the complete time will be shown by system”. Since the Traveler may be new to the city not knowing any place, in the map view if the user clicks on the marker he can see the ratings and reviews which are recorded from the Foursquare itself. The System requires An Working Internet Connection all the time for the app to work. The frontend of the System makes use of Android Studio while SQL Server as the Backend.
 
Project Title : PARKING LOT SYSTEM USING IMAGE PROCESSING
Project  Id : 16IMG-C12
Guide Details : Mr Ganesh Deshmukh
Assistant Professor
Team Members : KILARU SAI CHANDANA, KANDAGATLA MEGHANA, KONDU MANIKAR RAO, ANUGULA SREEVANTH REDDY
Domain : Image Processing / IoT
Abstract Now a days, people are facing problem to find an available parking space in parking lot due to the tremendous increase of occupancy of cars. When a driver want to enter a parking lot, the driver takes long time just to find an available parking space. This is used to detect the existence of the car and also provide information about the available parking space and the location of that parking and gives this information before they enter that particular parking lot , for example if there are four parking lots near by then driver gets the information about in which lot they have to park. It is used to design a smart parking system that is sensor free and functions as an indicator of the vacant spaces to the oncoming users of the parking lot. An image processing algorithm is used to detect empty parking areas from images of the parking space. The algorithm processes the image, extracts occupancy information concerning spots, and their positions thereof and sends information to the driver. The system also reports if individual parking spots are occupied or not. Occupancy information is made available to drivers, so they can enter that particular space easily in less time. The smart parking lot management system reduces the stress and time wastage associated with car parking and makes management of such areas less costly.
 
Project Title : TRAFFIC LIGHT CONTROL USING IMAGE PROCESSING
Project  Id : 16IMG-C13
Guide Details : Mr B Suresh Kumar
Assistant Professor
Team Members : KOTHA RAVI MRUDULA, ANIKAPALLI DURGA PRASAD, T ADARSH CHOUHAN
Domain : Image Processing / IoT
Abstract As the urban traffic congestion increased there is a pressing need of new traffic technology because of our poor infrastructure and resources Which cannot control the traffic congestion, to overcome this problem based on the volume of population giving time stamp to respective phase is a solution to control traffic congestion this can be done by using image processing methods.
 
Project Title : ATTENDANCE REGISTER USING IMAGE PROCESSING
Project  Id : 16IMG-C14
Guide Details : Mr M Y Babu
Assistant Professor
Team Members : GADDAM SANKETH, GANDRA SAI MANOJ KUMAR REDDY, CHAKALI SWETHA
Domain : Image Processing / IoT
Abstract Image Processing Attendance Register is a system which detects human faces, recognizes it and provides attendance. There are many ways to record attendance such as manual entry, biometric, access card and login entries. The proposed method is to record attendance through image using face detection and recognition. This method will be implemented in four steps like face detection, labelling the detected faces, training classifier based on labelled dataset and face recognition. The database is divided into various datasets and furthur, processed by a classifier to recognize the faces of the people. The final step is to take the attendance using face recognition technique in which the input will be given in the form of face images, and faces of the given images will be detected and recognized. Other system such as biometric takes a lot of time to attendance because each entry should be done one after the other and in Iris scanner the memory required is very large and difficult to maintain. This system is a better way to record attendance than the later systems. This system can be further extended and can be used in any workplace to record the attendance of the employees.
 
Project Title : SMART FILE SHARING
Project  Id : 16CS-C15
Guide Details : Mr S Venu Gopal
Assistant Professor
Team Members : GOGULA SAI BHAVANA, LOKA SUCHITHRA REDDY, VALLEM SRICHARAN
Domain : Cyber Security / IoT
Abstract The project is a brief introduction and implementation for the RSA Algorithm which helps to establish a trusted ecosystem between an organization and it’s customers. RSA algorithm is an example of asymmetric cryptography where it uses two keys. Our email is an example of an asymmetric cryptosystem where we have a username as a public key and password as a private key. The private key can’t be derived from the public key. So RSA which can resist almost all known password attacks. The RSA algorithm security depends on the decomposition of large numbers. This algorithm uses the Diffie-Hellman key exchange algorithm method for securely exchanging cryptographic keys over a public communications channel. The advantage of RSA is to crack since it involves the factorization of prime numbers which are difficult to factorize. Moreover, the RSA algorithm uses the public key to encrypt data and the key is known to everyone, therefore, it is easy to share the public key.
 
Project Title : CLASSIFICATION OF INTRUSION DETECTION ATTACKS
Project  Id : 16CS-C16
Guide Details : PENDIMUKULLA NISHANTH GOUD
SRI SATYA PREETAM A
THORMAMIDI MOUNIKA
Team Members : PENDIMUKULLA NISHANTH GOUD, SRI SATYA PREETAM A, THORMAMIDI MOUNIKA
Domain : Cyber Security / IoT
Abstract A novel supervised machine learning system is developed to classify network traffic whether it is malicious or benign. To find the best model considering detection success rate, combination of supervised learning algorithm and feature selection method have been used. Through this study, it is found that Artificial Neural Network (ANN) based machine learning with wrapper feature selection outperform support vector machine (SVM) technique while classifying network traffic. To evaluate the performance, NSL-KDD dataset is used to classify network traffic using SVM and ANN supervised machine learning techniques. Comparative study shows that the proposed model is efficient than other existing models with respect to intrusion detection success rate.
 
Project Title : GENERATING CUSTOMER INVOICE WITH BARCODE WITH THE HELP OF SAP SMART FORMS
Project  Id : 16SAP-C17
Guide Details : Mr B Suresh Kumar
Assistant Professo
Team Members : GUNTUPALLI BHANU SAI, MELIMI SAI KALYAN CHAKRAVARTHY, LAVOORI DINESH
Domain : SAP
Abstract Generating customer invoice using bar code is the new revolution to track all the entities, though they existing large quantities and redundant items .The barcode uses some decoding algorithms like data matrix and also QR-code, unique identification smart forms format allows to faster interaction and optimise the results.

 

 
Project Title : LIVE STREAMING AND DATA STORAGE IN CLOUD
Project  Id : 16CC-D1
Guide Details : Mr G S Prasada Reddy
Assistant Professor
Team Members : SURYADEVARA KARPOORAVALLY, DUDAM MANISH KUMAR, B K ARJUN, KOUKUTLA RAHUL REDDY
Domain : Cloud / IoT
Abstract Main idea of the project is to create a live video streaming application. The application is expected to be able to transfer live video data. The live video streaming technology can be used with additional user interface technologies to design an application that can be used in different ways as sharing live events, hosting online interviews, demonstrating things online, conduct webinar sessions etc.
Out of many possible applications using live video streaming technology, this application targets sharing live events. This application is expected to share live events online to multiple devices at a time. To design the application, AWS cloud technologies can be used, which provides services like Cloud Front and S3 for streaming live videos and storing data in efficient ways.
 
Project Title : PRIVACY PRESERVING MECHANISM FOR CLOUD ENVIRONMENT
Project  Id : 16CC-D2
Guide Details : Mr C. Satya Kumar
Assistant Professor
Team Members : KORAM HARI PRASAD, BADKOLIYA LAXMAN PRAJAPATH, P NAGASAI HIMAVANTH
Domain : Cloud / IoT
Abstract The main idea of the project is to provide security for the cloud environment. The data which has been uploaded to the cloud will be encrypted with AES encryption. The key will be sent to the intended users to access the data. Secured sharing of data and files over the cloud can be guaranteed by this mechanism.
 
Project Title : AIR POLLUTION ANALYSIS AND PREDICTION USING MACHINE LEARNING
Project  Id : 16DS-D3
Guide Details : Dr Ashu A
Assistant Professor
Team Members : SARDARNI JAGPREETH KAUR RAMGADIYA, MADHU MANIDEEP, YEDLA RAJARAM, P DIVYA
Domain : Data Science / IoT
Abstract Industrialisation has the potential to help achieve a variety of social objectives such as employment, technoligical advancements, etc. At the same time, industrialization causes negative impacts on environment, causing climate change, loss of natural resources, air and water pollution. These threaten the global environment as well as economic and social welfare. To provide better environment for the future generations, researchers proposed many approaches to reduce the negative impacts caused by industrilization. One the approaches is the analysis of air pollution level within a smart city scenario. Real time monitoring of air pollution data enables the metropolitans to analyse current situation of city. The air quality is affected by multi – dimensional factors including location, time, and uncertain variables. Hence, the data to be monitored for the air quality can be categoriezed as big data (based on the volume, varity, velocity, and varacity). As the air pollution data are characterized as big data, we will use machine learning approaches such as time series data monitoring algorithms in this project. The aim of this project is to investigate big-data and machine learning based techniques for air quality forecasting. In this project, we will use the AirQuality.xlsx, a public dataset obtained from kaggle repository. The extracted information is visualized using Hill Winter algorithm. This projects reviews the published research results relating to air quality evaluation using time series, hill winter, mean square algorithms of machine learning.
 
Project Title : PREDICTION OF HEART STROKE CHANCES BASED ON DATA PROVIDED USING MACHINE LEARNING ALGORITHM.
Project  Id : 16DS-D4
Guide Details : Dr Ramu Kuchipudi
Assistant Professor
Team Members : K MANNOJ, NUNE ARUN SAGAR, TIPPIRISHETTY BHANU PRAKASH, BAZEQUA FATIMA
Domain : Data Science / IoT
Abstract The main goal of this project is to predict the chances of Heart strokes by using data which is already available. We divide this data set into 2 parts, The first part of data set consists of 67% of data and is used to train model. The second part of data which is 33% of data is used to test the model. We prepare the classifier model using machine learning algorithm like Decision Trees and predicting the chances of Heart stroke based on various factors like age, chest pain, blood pressure, cholesterol levels, blood sugar levels and maximum heart rate achieved. The fields of the data set mostly represent and have the values which highly contribute for the heart stroke possibilities. The data set has to be cleaned by using various data cleaning techniques and removing null or incorrect values from the dataset after the data set has been cleaned the data set is provided to machine learning algorithms which classify the data. Similarly we can also diagnose several diseases by collecting the data based on the primary causes of diseases and predicting the possibilities of this diseases in patients.By predicting the possibilities of heart stroke by using basic medical test data we can save the time as well as money on highly costly diagnosis.
 
Project Title : FAKE PROFILE IDENTIFICATION
Project  Id : 16DS-D5
Guide Details : Ms S Laxmi Sunaina
Assistant Professor
Team Members : NENNURU LEELA PRASAD REDDY, MANIKONDA MEGHANA, VUMMAREDDY PHANEENDER REDDY, GOLLAMUDI S V N YASASHWI
Domain : Data Science / IoT
Abstract In the present generation, the social life of everyone has become associated with the online social networks. These sites have made a drastic change in the way we pursue our social life. Making friends and keeping in contact with them and their updates has become easier. But with their rapid growth, many problems like fake profiles, online impersonation have also grown. There are no feasible solution exist to control these problems. In this project, we came up with a framework with which automatic detection of fake profiles is possible and is efficient. This framework uses classification techniques like Support Vector Machine, Decision trees and random forest to classify the profiles into fake or genuine classes. As, this is an automatic detection method, it can be applied easily by online social networks which has millions of profile whose profiles cannot be examined manually. SVMs are among the best (and many believe are indeed the best) “off-the-shelf” supervised learning algorithms. Random forest or random decision forest are an ensemble training method for classification, regression and other tasks that operates by constructing a multitude of decision tress training time and outputting the class that is the more of classes or mean prediction of the individual trees.
 
Project Title : ALZHEIMER’S DISEASE PREDICTION USING NAIVE BAYESIAN CLASSIFIER
Project  Id : 16DS-D6
Guide Details : Mr Pallati Narsimhulu
Assistant Professor
Team Members : MANKAL ROHITH KUMAR, GUNNA SAI SACHIN REDDY, CHAVA SANTHOSH, SASANAPURI PRANEETH
Domain : Data Science / IoT
Abstract In that project, we propose checking the patient for Alzheimer’s Disease using Naive Bayes classification. Alzheimer’s Disease is a progressive disease that demolishes brain’s memory and its regular functioning as well. There isn’t any single test till date to diagnose this disease and brain scans alone can’t determine whether the person is possessed by it. Currently, the physician believes that a person is affected by Alzheimer’s based on the reports of the family members about the behavioral tendencies and observations of the past medical history. AI combined with Machine Learning algorithms might now be able to change this situation. Big Data processing has become significant as the information comes from multiple, heterogeneous, autonomous sources with complex and evolving relationships, and keeps growing. We prepare the dataset from previous historical data based on the percentage of patients that get this disease considering some crucial features.
 
Project Title : PHISHING WEBSITE FEATURES IN URL AND PREDICTION USING ML(MACHINE LEARNING)
Project  Id : 16DS-D7
Guide Details : Mr S K Prashanth
Assistant Professor
Team Members : KONJARLA MOUNISHA, N PRANAYA REDDY, MEDURI MONICA, MUNIGANTI SRIKANTH
Domain : Data Science / IoT
Abstract OBJECTIVES1. Main objective is to identify the malicious urls sent by the attackers through e-mails or websites.
2. To implement two supervised learning algorithms, they are random-forest and support vector machine algorithms to achieve better performance.
3. Considering the site popularity and traffic ranks are considered as important features to extract the phishing features of the web sites.OUTCOMES1. Identification of phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
2Phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
2. To warn the customers before entering the websites. Phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
• Phishing URLs and domain names have very different lengths compared to other URLs and domain names in the Internet.
• Many of the phishing URLs contained the name of the brand they targeted
Phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
• Phishing URLs and domain names have very different lengths compared to other URLs and domain names in the Internet.
• Many of the phishing URLs contained the name of the brand they targetedABSTRACT:
As a result of rapid increase in mobile usage, internet availability has increased. So web sites are providing their services online to their customers. At the same time, attackers are misusing these services by developing malicious websites. These malicious websites largely promote the growth of internet criminal activities. Therefore, there is a need of protecting customers or users from the attackers. So we propose a learning based approach to classify web sites into
3 classes. They are :
1. Benign: safe websites with normal services.
2. Spam: performs the flooding of user with ads and fake surveys, etc.
3. Malicious: created by attackers to gather sensitive information and to gain access to private computer systems.
Our mechanism analyses the URLs without accessing the website content. Thus, it eliminates the run-time latency and the possibility of exposing users to the browser based vulnerabilities. By employing learning algorithms, our scheme achieves better performance on generality and coverage compared with blacklisting service.
 
Project Title : Student Performance Analysis
Project  Id : 16DS-D8
Guide Details : Dr S. Shitharth
Assistant Professor
Team Members : RISHIKA REDDY KOTA, MANCHI REDDY RITHESH REDDY, TANNIRU MADHUSUDHAN, KETHAVATH PRAVEEN KUMAR
Domain : Data Science / IoT
Abstract Each and every student in a school/college has different level of performance. Analyzing a student performance based only on their grade level and suggesting improvement in the next year would be not very useful in this fast moving pace of talent. A student can be analyzed based on his identity, course in which he/she is majoring, behavioral demographics, parent responsible (mother/ father) and the data from surveys from student and their parents. The data from such demographics can be used to classify a student as an average or a bad or a good performer. Such classification helps faculty of institution to take steps to change a bad performer as an average or a good student. The dataset used for such analysis is collected from surveys and observations. The data visualization can be applied to get an idea of shape of the data and to identify possible outliers. Since most of the data is categorical rather than quantitative, classifiers (Support Vector Machines) are applied to classify students in to mainly three classes ‘L’,’M’,’B’. Based on outputs students can be altered to improve their results.

 

 
Project Title : APPLICATION FOR DETECTING CYBER THREATS AT PUBLIC CROWDED PLACES BY USING DATA ANALYTICS
Project  Id : 16DS-D9
Guide Details : Mr G S Prasada Reddy
Assistant Professor
Team Members : BACHU SHIVA SAI, PENTAMSETTY NIHARIKA, KOUKUNTLA VISHNUVARDHAN, K YASHWANTH
Domain : Data Science / IoT
Abstract In today’s world WIFI has become an important factor in the present generation. The growth of WIFI has increased. Due to this network security attacks are also increasing. We will collect the data from different resources about security attacks. With the help of this, we will prepare the dataset. After preparing the dataset we will classify the data based on different factors. We use different machine learning algorithms. By using this application we can find different security attacks and we will provide a description of attacks
 
Project Title : HUMAN ACTIVITY RECOGNITION USING MACHINE LEARNING
Project  Id : 16DS-D10
Guide Details : Ms Gandham Swetha
Assistant Professor
Team Members : KUMBAM ANVESH, MEKAPOTULA VAISHNAVI, NIMMANENI CHANAKYA, SANAM SUNAYANA
Domain : Data Science / IoT
Abstract Human Activity is a kind of data mining of human actions with respective to the emotions. Human Activity recognition is a device which predicts the future of a person using machine learning techniques. In which the device predict the kind of movement being carried out by the person. It is used in the health care systems, initial detection of diseases, rehabilitation centers. We can use the sensor technology such as accelerometers, gyroscopes from the modern devices a man use daily life to predict his emotions and future activities. Examples of activities detected are swimming , running , walking , standing etc.
Project Title : ESTIMATION OF GROUND WATER LEVEL THROUGH (USING) SOIL MOISTURE
Project  Id : 16DS-D11
Guide Details : Mr C. Satya Kumar
Assistant Professor
Team Members : MUDAVATH SHIVA KUMAR, CHOULAPALLY SHIVA KUMAR REDDY, NAINI RISHITHA REDDY, GURRALA RASHIK REDDY
Domain : Data Science / IoT
Abstract In recent times, it became difficult to predict the underground water levels because of transient underground conditions. Generally the underground soil is divided into two zones, saturated and unsaturated. In this model, prediction of underground soil moisture in saturated zone will be implemented. By the prediction of soil moisture, underground water levels can be determined. The model will be developed based on Artificial Neural Networks (ANNs) . ANNs have the capability of prediction when the availability of the data is less for prediction. The model will be trained with different hydrological parameters which includes daily, weekly, monthly and bi-monthly data. Factor analysis along with time series forecasting will be incorporated for increased accuracy and high consistency.
 
Project Title : TRAFFIC-ANALYSIS 
Project  Id : 16DS-D12
Guide Details : Dr M. A Jabbar
Professor
Team Members : KAMATHAM SANDEEP, AMBARLA SRIRAM, PATCHA RAM MOHAN, RAVELLA KARAN KUMAR
Domain : Data Science / IoT
Abstract In the present world traffic is the major problem for every individual. It’s hard to analyse the traffic as the vehicles are in moving state. It’s hard to track the desired vehicle from the large number of vehicles. As all the vehicles are not of the same shape and size, it will be hard to detect them. To bring up a solution for this problem we use the video footage recorded by the cameras placed at traffic signals. It doesnt require any additional cost as it uses the existing systems. We use Frame detection and edge detection algorithms to detect the vehicles. With the help of Kalman filter we can get the vehicles exact positions. Experimental results can be implemented using python code with Open-CV development kits, indicate that the proposed method can detect, track, and count moving vehicles accurately
 
Project Title : CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
Project  Id : 16DS-D13
Guide Details : Dr M. A Jabbar
Professor
Team Members : GUDLA RAHUL, MOHAMMAD KARISHMA, GOURISHETTY SRUJAN, GANGISHETTY RUSHIKESH
Domain : Data Science / IoT
Abstract In today’s world we are on a express train to a cashless society. The most accepted payment mode is credit card for both online and offline, it provides a cashless shopping in all countries. It has became a more conventional way to do online shopping, paying bills etc. Hence the risk of fraud transactions has been increasing day-by-day. Implementation of efficient fraud detection system thus became important for all credit card issuing banks to minimize the losses. In real life, fraudulent transactions are intermixed with genuine transactions and simple pattern matching is not often sufficient to detect this problem accurately. There is a need of past history of transactions like credit card holders spending pattern from the previous transactional database, and other inputs like income, location, living expense etc can be compared with the current transaction details to detect credit card frauds, if there is deviation on transactions it indicates as fraud. To detect this fraud we are using various machine learning algorithms like k-nearest neighbor, logistic regression etc classifiers to detect the fraud more accurately.
 
Project Title : SMART SEARCH WITH PRIVACY
Project  Id : 16DS-D14
Guide Details : Mr Ganesh Deshmukh
Assistant Professor
Team Members : SATLA RAHUL, SYAMANABOYENA KRISHNA CHAITANYA, KUMMARI RAJESH
Domain : Data Science / IoT
Abstract Using search engines in today’s environment may lead to stealing of informal from user, so in order to avoid such loss we create smart crawler which helps as a private search engine which helps the user to search in private environment without any stealing of information. On web we can see that web pages are not indexed, it was developed many crawlers to locate web interfaces, due to the large amount of resources in the network, the better result is a challenging problem. To solve this problem, we propose mainly crawler. Crawler performs the reverse search that matches the user’s query in the URLs. In the next step, the Site Prioritize is performed in which the content of the query in the form matches. Then, according to frequency matching, sort relevant pages and rank this page using keywords. Ranking pages are displayed on the results page. We will propose a customized search to improve performance by considering how long we keep the log file. Before viewing the query before entering the query in the search box that is the focus, enter the search box
 
Project Title : A SECURE DATA TRANSMISSION MECHANISM FOR VEHICULAR COGNITIVE CAPABILITY HARVESTING NETWORKS
Project  Id : 16CS-D15
Guide Details : Dr Sai Krishna Mothku
Assistant Professor
Team Members : THUMMA ARAVIND, YERASI VENKAT REDDY, KOLLAREDDY DILEEP KUMAR REDDY
Domain : Cyber Security / IoT
Abstract In smart city applications, communication is increasing day-by-day using wireless traffic networks. Ding et.al [1] have proposed an intelligent data transportation system which works with communicating the data between two vehicles. The existing system [1] has designed the data transportation platform for vehicular cognitive capability harvesting network (V-CCHN) using Radio Access Networks (RAN’s) The major limitation of the existing system is lack of providing security in the data transportation. Therefore, it is vulnerable for data theft and data modification. It leads to misguide the user and even allows the attackers to perform the criminal activities, such as delay in data delivery which leads to accidents, false data transmission. Hence, in this project, a secure data communication mechanism will be proposed for the data transportation system that prevents reply attack and man-in-the-middle attack.
 
Project Title : AUTOMATIC MOTORCYCLIST SAFETY HELMET DETECTION
Project  Id : 16IMG-D16
Guide Details : Mr V N L N Murthy
Assistant Professor
Team Members : CHINCHETI SRUTHI, GADE SRITEJA RAO, GOLI SREEJA REDDY, KOPPARTHI SAI VENKAT REDDY
Domain : Image Processing / IoT
Abstract The Project titled “Motor cyclist safety helmet detection” is developed with intention to improve and enhance the safety measurements for well-being of society. The major task that need to be handled is illumination and poor video quality of surveillance traffic camera problem and dynamic changing weather conditions. In this project we aimed at proposing a well-developed framework for achieving this task by taking into consideration of all the advantages of various techniques proposed in various papers on this topic. The helmet is considered to be the motorcyclist’s main protection. Most of the countries across the globe require the use of helmets by motorcyclists, but many people fail to obey the law for various reasons. We are presenting the development of an automatic system using image processing and deep convolutional neural networks (CNNs) for finding motorcyclists who are violating helmet laws. The system comprises of detection of motorcyclists with helmet and without helmet. This helps in taking necessary actions by the police officials. Charging fines to those people who got detected will alert the society and mainly individual’s safety. This system can be deployed at several cities of India.
 
Project Title : TRAFFIC CONGESTION CONTROL
Project  Id : 16IMG-D17
Guide Details : Dr Ashwani Kumar
Associate Professor
Team Members : BHEEMARAPU MANEESHA, KOTLA SIDDARTHA, SOLLU PRANAY KUMAR
Domain : Image Processing / IoT
Abstract The project aim is to design traffic management system. Now a day’s everyone are using a vehicle and we can see many traffic congestion in many areas .So to control this traffic jams we are designing a traffic management systems using vehicle counting. We can design this system by using image processing algorithms on video streams taken from cameras. There is a increased demand for the smart cities, so we need to use some techniques to analyze the traffic density. So traffic management system should identify the vehicle and count the vehicles passing from the cameras view field from one traffic light to another and analyze the next congestion going to be occur in advance to the nearest traffic police and clear the area.
2020 - 2021

Project Title : FAULT TEXT DETECTION
Project Id : 17MINI-A1
Guide Details : DR RAJANIKANTH ALUVALU , PROFESSOR & HEAD OF THE DEPARTMENT
Team Members : PAKALA PRAHASIT REDDY, Y PRASHEELA, AVULA UDAY KUMAR REDDY
Abstract : Fake news has turned out to be a menace. Information preciseness on Internet, especially on social media, is an increasingly important concern. Even recent political events have led to an increase in the popularity and spread of fake news. As demonstrated by the widespread effects of the large onset of fake news, humans are inconsistent if not outright poor detectors of fake news. With this, efforts have been made to automate the process of fake news detection. The most popular of such attempts include “blacklists” of sources and authors that are unreliable. While these tools are useful, in order to create a more complete end to end solution, we need to account for more difficult cases where reliable sources and authors release fake news. As such, the goal of this project is to create a tool for detecting the language patterns that characterize fake and real news through the use of machine learning and natural language processing techniques. The results of this project demonstrate the ability for machine learning to be useful in this task. We ought to built a model that catches many intuitive indications of real and fake news that aids in the visualization of the classification decision.
Project Title : CRICKET SCORE PREDICTOR
Project Id : 17MINI-A2
Guide Details : Dr. H. Venkateswara Reddy, Professor
Team Members : A.SAKETH, S.PRANEETH REDDY, AAKASH MAHINDREKAR
Abstract : Cricket (IPL) Score Predictor is a Machine Learning Web App created with Flask, deployed on Heroku platform. Growing up as sports enthusiasts, we were always so curious to know with how many runs our favorite team would end up given a particular situation in the match. After comprehending machine learning and with the enormous data we have today, we realized that we can actually do it. We are building a model to predict the score (in terms of range) for any IPL match at the end of twenty overs taking the batting team, bowling team, overs bowled, venue, runs scored and wickets taken until a particular situation as inputs along with the runs scored and wickets taken in the last 5 overs to bring momentum into consideration because of the unpredictable nature of IPL matches. Here we will take the dataset consisting of ball-to-ball information about every match of IPL from Season 1 to 10 i.e: (2008 to 2017).We will process the data using Numpy, Pandas libraries, visualize it using Matplotlib and Seaborn. We will experiment with various machine learning algorithms like Linear regression, Decision tree regression, Random forest regression to find the optimal one using some parameters and also use Adaptive Boosting Algorithm. Finally, we would predict the score at the end of twenty overs. We will create web-app using Flask framework and deploy it on Heroku platform.
Project Title : Mini toolbox
Project Id : 17MINI-A3
Guide Details : Dr. D. Raman, Professor
Team Members : Neerukonda Puneeth, A. Vishal, T. Pavan kumar
Abstract : We are going to develop software that has many small tools integrated into it. It is very useful to developers as well as normal users. This software is developed using Python Framework called Tkinter. We are also using SQLite to store data. Some of the tools in this software are Password Generator and Password Manager.
Project Title : Prediction of epidemic outbreaks using social media data
Project Id : 17MINI-A4
Guide Details : Dr. M.A JABBAR, Professor
Team Members : P.SAI TEJA SHASHANK, A.VAIBHAVI, J.VAISHNAVI
Abstract : Epidemic diseases are the contagious diseases that are possible to be spread into the entire nation if the contagion measurement had reached the outbreak level and manage to wipe out the entire population [1-3]. There are some famous epidemic outbreaks that were occurred in the entire world e.g. dengue, yellow fever, cholera, diphtheria, influenza, bird flu and several others. This contagious disease had caused critical world health issues and was assumed to be one of the main factors that had caused the 43% of life lost globally. India also had experienced some of the epidemic diseases outbreak such as dengue, hepatitis, chikungunya and many more. Diphtheria may cause the inflammation of the nerves, paralysis and bleeding problem to the host[4]. The transmission usually happened via direct contact and contaminated air. However, this disease also was believed had been causing by the irregular of vaccination. These factors may contribute towards disease’s identification, detection, prediction and controlling via features classification. However, due to the involvement of integration between the features, the features’ clustering method was introduced and had caused the weight adjustment on the input. This features’clustering method may result in the less accurate and approximate detection and prediction on the epidemic disease. Hence, the study of finding the optimal result of the integration of clustered features was introduced via the backpropagation method that able to identify and correlate the factors that have an impact on the epidemic disease dissemination[5-6]. In this work, we propose a predictive model to predict the status of the epidemic in the specific region. For the experimental purpose, we collect the data from EHR (Electronic Health Record) as well as from the social media such as Twitter and Facebook.
Project Title : LIVER DISEASE PREDICTION USING MACHINE LEARNING
Project Id : 17MINI-A5
Guide Details : Dr. S. NAGESWARA RAO ,Associate Professor
Team Members : MATAM VAISHNAVI,
GOURU LAKSHMI PRATYUSHA ,
M.NARESH BABU.
Abstract : Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. Diagnosis of liver disease at a preliminary stage is important for better treatment. It is a very challenging task for medical researchers to predict the disease in the early stages owing to subtle symptoms. Often the symptoms become apparent when it is too late. To overcome this issue, this project aims to improve liver disease diagnosis using machine learning approaches. The main objective of this research is to use classification algorithms to identify the liver patients from healthy individuals. This project also aims to compare the classification algorithms based on their performance factors.
Project Title : FUELUP
Project Id : 17MINI-A6
Guide Details : V.LOKESHWARI, ASSISTANT PROFESSOR
Team Members : Kancherla.Jeevika
K.Sai Rohith Reddy
A.Pranith Varma
Abstract : This project addresses the issue of break down of vehicles midway due to fuel insufficiency. Many people traveling in and around the cities and other places are facing problems with insufficient fuel when they miss the chance of refueling before the vehicle breaks down. Some times there is no enough fuel in the vehicle to reach the nearest fuel station. This leads them into difficult situations. The aim of this project is to find a solution for this problem.
Project Title : IMAGE CAPTION GENERATOR
Project Id : 17MINI-A7
Guide Details : Dr.ASHWANI KUMAR, Associate Professor, Department of CSE.
Team Members : APOORVA,SUMANTH,VINAY
Abstract : Image Caption Generation has always been a study of great interest to the researchers in the Artificial Intelligence department.
Being able to program a machine to accurately describe an image or an environment like an average human has major applications in the field of robotic vision, business and many more.
This has been a challenging task in the field of artificial intelligence throughout the years.
We will be implementing the caption generator using CNN (Convolutional Neural Networks) and LSTM (Long short term memory). The image features will be extracted from Xception which is a CNN model trained on the imagenet dataset and then we feed the features into the LSTM model which will be responsible for generating the image captions.
So, to make our image caption generator model, we will be merging these architectures. It is also called a CNN-RNN model.
CNN is used for extracting features from the image. We will use the pre-trained model Xception which is trained on Imagenet Dataset.
LSTM will use the information from CNN to help generate a description of the image.
Project Title : PALISADE
Project Id : 17MINI-A8
Guide Details : Dr.shitharth(assistant professor)
Team Members : nithin katla(17881A0519),
Goutham kumar(17881A0508),
Rohith raj(17881A0529)
Abstract : Our project is about create a social platform to share posts and like a given post and comment on post of users.It helps us in sharing things related to jobs,info,entertainment etc.This application is built using MERN stack which is boom tech in market.we are also thinking to add chat room to our application by which we are able to join a room and chat with users.our platform will be very easy to understand and use for users.In our daily life we see different things and get experienced of it such that,we can share our experiences in posts in our application.
Project Title : PRODUCT RECOMMENDATION SYSTEM
Project Id : 17MINI-A9
Guide Details : Vivek Kulkarni , Assistant Professor
Team Members : Kuthuru Kamala Reddy
Meesala Sridhar
Nanam Vaishnavi
Abstract : Main idea of recommender system was defined from the perspective of E-commerce as a tool that helps users search through records of knowledge which is related to users interest and preference. It is defined as a means of assisting and augmenting the social process of using recommendations of others to make choices when there is no sufficient personal knowledge or experience of the alternatives.
Project Title : CONTEXT AWARE IMAGE RETRIEVAL USING NLP AND WEBSCRAPING
Project Id : 17MINI-A10
Guide Details : Mr. A Bhanu Prasad, Assistant Professor
Team Members : THIPIREDDY VAISHNAVI-17881A0554
BOLISETTI SRRICHARAN-17881A0548
SRIRAMULA SHASHI KUMAR-17881A0544
Abstract : In Digital Image Processing research, context-based image retrieval is one of the most significant research fields as this is latest and fastest method for retrieving the useful images. An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. This can be used for real time image retrieval in a fast and efficient way. In this we web scrape the Wikipedia pages over 2 levels and create a database that consists of the context aware images. The tools such as Beautiful Soup(bs4), Google cloud computing services, Jupyter notebook, python, Stanfordnlp, are used in implementing this project. Initially we scrape the Wikipedia over two levels, and this can also be made on a high scale by scraping up to infinite levels based on the time and availability of resources. Automatic Annotation using Keyword Extraction from Web for Auto-Categorization of Images is done. In this project we create a large database in MySQL, query the images and view the images with relevant tags. We Use techniques of NLP and web crawling to extract characterizing text for images from relevant web pages. We can efficiently annotate tags to over 1 million images from standardized websites with an accuracy of more than 90%.
Project Title : NewsPaper Sentimental Analysis
Project Id : 17MINI-A11
Guide Details : MR.S K PRASHANTH ,ASSISTANT PROFESSOR
Team Members : 17881A0518-YALAKA NEHA REDDY
17881A0516-INDUKURI MOHIT
17881A0530-LAKKIREDDY ROHITHREDDY
Abstract : Modern technological era has reshaped traditional lifestyle in several domains. The medium of publishing news and events has become faster with the advancement of Information Technology (IT). IT has also been flooded with immense amounts of data, which is being published every minute of every day, by millions of users, in the shape of comments, blogs, news sharing through blogs, social media micro-blogging websites and many more. Manual traversal of such huge data is a challenging job; thus, sophisticated methods are acquired to perform this task automatically and efficiently.
Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis technique.
News reports events that comprise of emotions – good, bad, neutral. Sentiment analysis is utilized to investigate human emotions (i.e., sentiments) present in textual information. Sentiment analysis can be done on document level, sentence level, word level or phrase level. This project explores sentiment analysis on the document level. The results of this project is to demonstrate the ability of Natural language processing in text analyis to predict the tone of the Newspaper/Article. So,We ought to built a model that identifies the sentiment of the Newspaper/Article.
The goal of this project is to create a tool to identify the sentiment of the News/Article.
Project Title : BRINGLIGHTIFY
Project Id : 17MINI-A12
Guide Details : Mr. S. Venu Gopal, Assistant Professor
Team Members : Shashi C. Shirupa
A. Rishitha
G. Yogendar
Abstract : Requirement for solution: • NYKS has 623 district offices and 29 state offices across the country. • NYKS needs software by which NYKS may take the attendance of the officers working in these districts and States. Now a day, attendance monitoring and working hour calculation is very essential for almost every institution or organization.
Manual system involves the use of sheets of paper or books in taking attendance where employees fill out and managers oversee for accuracy. This method could be erroneous because sheets could be lost or damaged.
Also, the extraction of relevant data and the manual computation of working time is very time consuming. It takes an extra employee to check for the attendance and timing of other employees which includes cost overhead for the organization as well.
The Mobile should collect the attendance based on the location of the officer through GPS system / Geo-Location System.
Project Title : EXPLORING COMPRESSION IMPACT ON FACE DETECTION USING OPEN CV
Project Id : 17MINI-A13
Guide Details : Mr. C. Satya Kumar , Assistant Professor , Department of Computer Science and Engineering , c.satyakumar@vardhaman.org
Team Members : Mallellu Sai Prashanth, T NITISH REDDY, A Prashanth Reddy
Abstract : The growing interest in computer vision of the past years. Recognition has transcended from an different to a popular area of research in computer vision and one of the better and successful applications of image analysis and algorithm. Because of general curiosity and interest in the matter, The system will create an application that would allow user access to a particular machine based on an in-depth analysis of a person’s facial features. This application will be developed using OpenCV and Python. By apply face detection algorithm, which detects the presence and location of a face in an image, but does not identify it. Like too extract the feature that shows each face in an image. face alignment has been demonstrated to increase face recognition accuracy in some pipelines
Project Title : DIABETES PREDICTION USING PIMA DATASET
Project Id : 17MINI-A14
Guide Details : MS. S. SHOBA RANI, Assistant professor
Team Members : G.Jaya Teja, P. Mounika, Sai Rakesh Vavilala
Abstract : Diabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy and other disorders. All over the world millions of people are affected by this disease. Early detection of diabetes is very important to maintain a healthy life. This disease is a reason of global concern as the cases of diabetes are rising rapidly. Machine learning (ML) is a computational method for automatic learning from experience and improves the performance to make more accurate predictions. We have developed a system using Machine learning which has the ability to predict whether the patient has diabetes or not. Furthermore, predicting the disease early leads to treating the patients before it becomes critical. Data mining along with Machine learning has the ability to extract hidden knowledge from a huge amount of diabetes-related data. Logistic regression Model in Machine Learning helps us with a greater accuracy in prediction.
Project Title : PREDICTING THE COVID-19 PREVALENCE RATE USING DATA MINING
Project Id : 17MINI-A15
Guide Details : MS. T. Jagadeeswari , Assistant Professor
Team Members : KATPALLY ANANYA REDDY, MANTHRAMURTHY SAMHITHA, SUNKIREDDY AAKANKSHA REDDY
Abstract : Covid-19 a novel strain of the coronavirus, started as a rare respiratory illness. The World Health Organization declared the coronavirus a global pandemic which threatens the lives of people. In this present situation, we are unable to predict the difference between corona or common-flu. Therefore as a part of our contribution, this project helps a person showing symptoms cold, fever, etc. to predict whether he is possibly covid-19 positive or negative.
As local and international authorities continue to contain the outbreak, incorporating data and technology into the day-to-day decision-making would not only be shrewd but also highly effective. The main objective of this project helps a person to pre-analyze his situation before visiting a hospital. We propose covid-19 online predictor where a person can input his symptoms; it predicts the outcome (result) using data science, machine learning models.
Project Title : STUDENT ATTENDANCE BY FACE RECOGNITION
Project Id : 17MINI-A16
Guide Details : Dr. K. Ramu, Associate Professor, Dept.of CSE
Team Members : Prem Sharma, Simran Shaik, Bochu Dhanraj
Abstract : As the world with each passing day is transforming into an automated place, we are all looking for different ways to make our regular, manual and time-consuming tasks automated, to rather focus on comparitively more important things. Taking attendance for each class is one such task. The model that will be generated will first detect the face in the image. For detection, the image will be converted from RGB to Grayscale because it is easier to detect an image in grayscale. Haar-Like features algorithm will be applied on the image which will detect the face and then a rectangle can be drawn along the borders of the face. The API will take sixty such images of a new face and store the face along with its id and name in a CSV file. Then, these images will be fed to the opencv face recognizer which will generate a YML file and will be able to recognize the face the next time it appears. The list of the students of a class with their attendance will be available to the faculty members at the click of a button. For a student to get recognized, needs to simply click on the ‘get recognized’ button in the API and a message will be displayed implying that their attendance has been recorded for the day. The standalone GUI of the project will be made using Tkinter which is an in-built python module.
Project Title : BIKE ASSISTANT
Project Id : 17MINI-A17
Guide Details : Mr. Pallati Narsimhulu , Assistant Professor
Team Members : V Uday Teja ,
P Sai Vardhan Reddy ,
K Santosh Kumar
Abstract : • Due to hectic schedule and immense work pressure many people most often forget to get their motorcycles serviced regularly. To help them, we came up with a solution by sending them a reminder about the motorcycle service . All this can be done on online. The main idea of this project is to help the users to get reminded about their motorcycle services.
These services include two types:
(i) Regular bike service and component check up reminder.
(ii) RTA Pollution check reminder.
This application there by helps the users by timely scheduling bike checks and pollution checks, so that they can be done in due time.
Our application helps the user get timely notifications about their motorcycles serviced and get government approved pollution check.
This way we can help the motorcycles to be stable and there is a hope that they don’t release excessive pollution which helps us in reducing the increasing pollution concerns.
Project Title : INFLUENZA
Project Id : 17MINI-A18
Guide Details : Mr.M.Ananda Ranjith Kumar , Assistant Professor
Team Members : K.SANDEEP SHANDILYA
PEETHANI SRIKANTH
SIRIGIRI SAI DIVYA
Abstract : Our project is based on a website that helps the user predict the disease based on his/her symptoms. Helps the user to know about their health status and be confident about their health .It is a basic platform where user can input the symptoms and expect the algorithm to predict their disease.The Proposed system uses naïve Bayyes and random forest algorithms to get the highest accuracy.In the end of the analysis our model provides which specialized doctor to consult.
Project Title : True Face Detection
Project Id : 17MINI-A19
Guide Details : MS.V.UMA MAHESHWARI, ASSISTANT PROFESSOR, Department of CSE
Team Members : Mohammed Owais Ahmed
Adusumilli Vishnu Chandra
Nazneen Sulthana
Abstract : Face recognition system is a technology capable of identifying or verifying the identity of an individual using their face. With the rapid increase in the usage of facial recognition technology, the threats of presentation attack also increase. The main idea of the project is to detect the given face as a true face or a spotting fake face.
Project Title : USER RATING AND REVIEW BASED FRAUD APPS DETECTION FROM GOOGLE PLAY STORE USING SENTIMENTAL ANALYSIS
Project Id : 17MINI-A20
Guide Details : RAMESH SIR-ASSISTANT PROFESSOR
Team Members : SHAIK MANZUR ELAHI
PURRAM MOHAN KUMA
SILASAGARAM ACHYUTH KUMAR
Abstract : The mobile industry is developing rapidly therefore the numbers of mobile applications are increasing day by day in the market. As there are many apps available in market users are in fuzzy state while downloading the apps for their use. Hence it is a need to keep track and develop a system to make sure the apps present are genuine or not. The objective is to develop a system in detecting fraud apps before the user downloads by User Ratings and Reviews analysis with Naive Bayes algorithm. So we are proposing a system which will process the information, ratings and three reviews of the application with Naive Bayes algorithm to give results. So it will be easier to decide fraud application.
Project Title : PERMISSION FORM GENERATOR
Project Id : 17MINI-B1
Guide Details : DR. D. RAMAN,Professor
Team Members : CHALAMALLA AKHIL REDDY,TAMMANA AMRUTHA,BANDA ARUN KUMAR
Abstract : This project aims to reduce the fraud in permission letters during the events. To eliminate this problem, we will create a website through which permissions can be requested to the correspondent in-charge person. So, that student can apply permission through online using students ID and their selected events. The head office will decide the students who are eligible for the event and create a permission letter and accepting/rejecting will be based on their performance in academics. Sports department will have updated notification about permission form in their page. Students cannot do fraud in attendance since it is virtual form.
Project Title : SALES PREDICTION USING LINEAR REGRESSION
Project Id : 17MINI-B2
Guide Details : DR. M. AKHIL JABBAR
Team Members : “N.BALA VICKY
M. LAKSHMI REDDY
G.GOWTHAM REDDY”
Abstract : A sales analysis report shows the trends that occur in a company’s sales volume over time. In its most basic form, a sales analysis report shows whether sales are increasing or declining. At any time during the fiscal year, sales managers may analyze the trends in the report to determine the best course of action. Managers often use sales analysis reports to identify market opportunities and areas where they could increase volume. For instance, a customer may show a history of increased sales during certain periods. This data can be used to ask for additional business during these peak periods. A sales analysis report shows a company’s actual sales for a specified period a quarter, a year, or any time frame that managers feel is significant. In larger corporations, sales analysis reports may only contain data for a subsidiary, division, or region.
Project Title : HEALTH DIET RECOMMENDATION FOR COMMON MAN (COVID)
Project Id : 17MINI-B3
Guide Details : Dr.S.Nageswara Rao,Associate Professor
Team Members : Cheruku Deeksha, Chiluka Akhila, Sirge Mahender, Nallawar Sanket
Abstract : As the number of COVID Cases is increasing exponentially these days it has been a necessity to have highly protein, nutritious food. Prevention is better than cure! Nutritious food can help one to improve their immune system which would be a great help in this pandemic times. There is a high chance that people may not have access to the recommended recipes provided by the officials and medicals. Hence we wanted to reduce the bridge by providing a platform addressing the above issue. We shall provide the list of recommended recipes to prepare them. In case if a person faces a shortage of the cooking material we also provide a way to order them online and delivered at their doorstep eventually reducing the chances of a person to step outside. Recommendations are done through an intelligent algorithm in backend. We also create awareness among the people on how healthy diet is important for every individual to avoid any infection (in present situation COVID) making way for infection less Society.
Project Title : IMAGE STEGANOGRAPHY USING PYTHON
Project Id : 17MINI-B4
Guide Details : LOKESHWARI ASSOICIATE PREOFESSOR
Team Members : SNEHA
ESHWAR
MAHENDRA
Abstract : Data hiding is the art of hiding data for various purposes such as; to maintain private data,
secure confidential data and so on. Securely exchange the data over the internet network is
very important issue. So, in order to transfer the data securely to the destination, there are
many approaches like cryptography and steganography. In this project we propose a LSB
steganographic method for hiding the data by applying Least Significant Bit using 7 bit pixel
(LSB) algorithm for embedding the data into the images which is implemented through
PYTHON
Project Title : URL SHORTENER
Project Id : 17MINI-B5
Guide Details : Dr. Ashwani Kumar , Associate Professor
Team Members : P.Kranthi Kumar , P.Nikhil Kumar Reddy , S.Shivani Reddy
Abstract : URLs can get long, unattractive, and break when shared on online platforms. To shorten an Internet address, we proposed a secure URL shortening service which will take a long URL and create a shorter URL that will not break
while we share it.This application will be developed using softwares like python,flask,SQLAlchemey .
The algorithm used for url shortening is base62 which takes the unique id and generates a string which can be appended to the shortened new url,we will also be tracking the number of clicks made to the url.
A short URL to access Web page tops the list of advantages, but it can also help with keeping links intact in email or text messages and it can be useful for search engine optimization.
As a result the proposed secure URL shortening service will give the user more trust to use the service with security, availability, and confidentiality consideration as compared to the available used services .
Project Title : ONLINE AUCTION WEBSITE
Project Id : 17MINI-B6
Guide Details : DR. S. SHITHARTH, ASSISTANT PROFESSOR
Team Members : LANKA LAASYA,MOHAMMED REHAAN,DONTHU SHASHI KUMAR
Abstract : With the onset on COVID-19 in the month of Dec,2019, the market has seen an extreme downfall due to the general fear of spread in the peoples minds and also the government initiatives like the nationwide lockdown. As the COVID-19 virus is a novel virus, many problems and uncertainties have come up with tackling it. Due to this nature of the virus, even after the opening up of the market in a few months, many will be skeptical to come out of their homes especially for practices like shopping.
The online market inclusive of companies like Amazon, Flipkart, Snapdeal, Bigbasket etc has boomed when it comes to its sales, as customers prefer to shop for their requirements online.
Joining in on this trend of online shopping we are aiming to create an Online Auction Website, called “ THE AUCTIONEERS”.
This website aims to create the same online market but with bidding practices. So the customers will be able to place their bids on products they desire, and will be sold the product if their bid is the highest at the end of the deadline. The results for the auctions will be announced at the end of each auction deadline and the buyers with the highest bids will be notified on their user pages. Also the sellers will be able to place a minimum bid on their products for upcoming auctions. The item will be delivered to the buyers house within 15 days of confirmation while following all safety precautions mandatory.
Also keeping in mind the security and quality checks of the products put up for auction,certain actions including authentication of sellers identity and the standard checking of products will be done by means of Aadhar card details and a standard check questionnaire.
Project Title : Leaf Disease Detection using CNN
Project Id : 17MINI-B7
Guide Details : Mr. S K Prashanth. , Associate professor
Team Members : Ch. Lakshmi Sushritha
P. Sai Nithin
B. Sandeep
Abstract : In countries like India, whose primary occupation is agriculture
faces a huge loss when the crops get affected by any disease. These
diseases attack the crops in various stages and destroy the entire
production. Since most of the diseases are transmitted from one crop to
other there is much need to detect the exact type of disease the crop has
been affected so that farmers can take the required steps to the “save the
crops” and production. But detecting the kind of disease that a crop has
been affected is very difficult to farmers since there are various kinds of
diseases. Detecting the type of plant disease can be done accurately when
all the diseases related to a plant or a crop is known and to carry this type
of data is really a difficult task for a farmer. This problem can be solved
using our model which uses the photo of plant leaf and detects whether
the plant is healthy or not. If the plant is unhealthy then this model also
shows what kind of disease that attacked the plant. So, that the farmers
can take necessary precautions.
Project Title : HOUSE PRICE PREDICTION
Project Id : 17MINI-B8
Guide Details : MS. S. SHOBA RANI,ASSITANT PROFESSOR
Team Members : 17881A0580-DEVARAPALLI MANASA REDDY,17881A0599-KUNCHAKURI SAITEJA ,17881A05A4-KANDE SATHYA
Abstract : House prices increase every year, so there is a need for a system to predict house prices in the
future. House price prediction can help the developer determine the selling price of a house
and can help the customer to arrange the right time to purchase a house. There are three
factors that influence the price of a house which include physical conditions, concept and
location etc. Usually, House price index represents the summarized price changes of residential
housing. While for a single family house price prediction, it needs more accurate method based
on location, house type, size, build year, local amenities, and some other factors which could
affect house demand and supply. With limited dataset and data features, a practical and
composite data pre-processing, creative feature engineering method is examined .
Project Title : TYPE RACER
Project Id : 17MINI-B9
Guide Details : Dr. K. Ramu-Associate professor
Team Members : D. Meghana
K. Sai ghrushmala
Shashikanth
Abstract : A Typeracer is a typing test game which is designed to find how fast one types in a given amount of time to score points. We will be designing a typing game using JavaScript that presents a simple typing challenge and finds the performance of an individual. The game shows a series of words that have to be typed in a specified time limit, as fast as possible. We will create the HTML layout first, style it using CSS and then write the logic in JavaScript.
Project Title : Commodity Price Tracker
Project Id : 17MINI-B10
Guide Details : Mr. B. Suresh, Assistant Professor
Team Members : Rishvik, Hemanth, Sravani
Abstract : MAIN IDEA OF PROJECT:
. Track prices of commodities
Our project is mobile application which displays eal time prices of commodities like gold, silver,
petrol, diesel, LPG, etc. These prices are updated regularly in order to display real time data which we be useful for the people to track and invest in these commodities.

Existing system:
• Does not provide all prices of different regions at one place
• Not accurate
• High difference from site to site
Proposed system:
• Provide all prices of different regions at one place
• Accurate
• User friendly
Proposed Project Objectives:
• Run script in cloud using cloud functions technology to extract data from trusted public websites
• Storing extracted data from cloud functions into a cloud database
• Creating a rest API to transfer data between the application and cloud database
• Creating a user interface using XML
• Writing the backend code and then coupling with the user interface

Project Title : GATED COMMUNITY MANAGEMENT SYSTEM
Project Id : 17MINI-B11
Guide Details : B. SURESH KUMAR , Assistant Professor
Team Members : B.PAVAN CHANDRA
E.SHREYA REDDY
L.RISHI PREETHAM
Abstract : The main aim of this project is to create a web application which maintains the Database and the information about various services which can be useful for various gated way communities. Vast information is maintained in this system so as to provide all the details of services.
A website that simplifies life for everyone in a gated community, from residents and management committee members to security guards and facility managers
The existing records were manually managed by the resources of the community. It was a huge task as they had to maintain a large database of customers who have bought the flats long with their dates, amount paid etc. They also had to manage the data related to the maintenance activities of all the flat owners. lt required lot time and resources. There was no way to find easily where the customer payed or not.The user had to manually search for all the records pertaining to catch apartment and then prepare a report of all the outstanding payments.
Project Title : Interactive case management system
Project Id : 17MINI-B12
Guide Details : Mr Kumar Baradur, Assistant professor
Team Members : Itikyala Pranav
Naini Rakesh
Kalakuntla Sreeja
Abstract : 1.Interactive case management is a web application it is used to provide online interaction to both client and lawyer through our website. client can choose lawyers based on the case.We came across software solution for smart and efficient judiciary interactive system. That covers
1.facility for presentation to all attendees.
2.facilities for discussing between judiciary panel.
Client and lawyer can access our website by registering to our website.
Client and lawyer can also do videocalls and can also transfer files using our website.
2.Thus this web application provides online case management system , who can access from remote locations.
At this pandemic period of time interacting lawyer via online is more helpful for clients.
3.Client can interact lawyer at any time and discuss about the case it saves both money and time so it is also cost effective system.
4.It has the following features:
Security
Flexibility
Portability
Search Options
Robustness
Project Title : HYBRID ENCRYPTION FOR BIG DATA IN CLOUD
Project Id : 17MINI-B13
Guide Details : Mr. Shrawan Kumar, Assistant Professor
Team Members : Madiraju Pranay Kashyap, Baddam Radhika, Rolla Varun Goud
Abstract : The cloud is a cutting-edge stage that conveys virtualization, dynamic asset pools and high accessibility and widely used in industry and research as Cloud computing and big data have provided easy solution for storing and processing complex data. But the threat to data security in cloud has become a great concern. It is required to secure all type of data. In order to get rid of these, an assortment of mechanisms and encryption algorithms are utilized in various blends. We know that classic encryption schemes have long been used for security purposes and they have been successful to some extent.
On the comparable terms, we made utilization of hybrid encryption with the utilization of cross-breed cryptographic calculations to upgrade the security of information on cloud. In view of various execution
constraints to reason a hybrid calculation which can anchor information more effectively on cloud. So why use hybrid system. The basic answer is security. Basically, what hybrid cryptography does is that it mixes the effectiveness of symmetric encryption with easiness of encryption. It enhances security level and encryption efficiency. It has many advantages. Firstly, it enables user to communicate through hybrid cryptography. Some may think asymmetric scheme will hinder speed of encryption but that is not the case. Simultaneously using symmetric scheme, it increases efficiency of system as well as It provides better security.
Techniques like DES, 3DES, AES, RSA, RC4 and many others have proven to be a success in hiding the data and securing it. Everything is prone to attack and so are they. Every individual encryption technique is known to be attack prone due to increase in computational power days. Any new technique which will be developed will be known to attacks but to increase security and efficiency hybrid encryption is used. Hybrid encryption provides efficiency. Here in this project we incorporated AES and 3-DES techniques to implement Hybrid Encryption.
Project Title : Detecting text and digits from the image
Project Id : 17MINI-B14
Guide Details : Mr.K.Kotaiah Swamy , Assistant professor
Team Members : Akuthota Rakesh
Neha Reddy Marri
Ireddy Vignesh Reddy
Abstract : Todays Modern world became so much fraudulous things being done by the people.in order to stop this government has provided several id’s for us such as aadhar card,bike number plate,pan card etc.,because of this when a police found his or her id the fraudulent can be found easily.this has changes the behaviour of the police and it has tended to more frauds by taking the curreption. In order to eradicate this problem the present society is working with image to text conversions.in the traffic if we fix a camera ,from that camera we can get the bike ids of the persons who are not obeying the rules.so that from the database we can get the user details.
The goal of this project is to create a tool to identify the frauds from the cameras by getting their ids.
Project Title : DONATION MANAGEMENY SYSTEM
Project Id : 17MINI-B15
Guide Details : V.VIJAY BHASKAR REDDY ,Associate professor
Team Members : “HARSHITHA KARNATI,
P.SAI SHIVANI,
P. VIJAYA LAKSHMI”
Abstract : Our project is mainly focused to provide the services to the needy through single portal and make the donation process easy. In blood donation the donor can easily reach the needy through the consent of the admin. In the other kinds of donations like organs it mainly collects the donations of the donors and deliver them to the respective organizations and provide the information to the respective volunteers of that organization to maintain transparency.
In the present-day scenario though there are many donors, their donations are unable to reach the needy at the right time or due to third parties the cases such as blood donation and organ donation, fun donation, household items or any other.
In this we maintain blood and essential organ donations to the needy under single portal and providing donations to needy as per their requirements. The main aim is collecting the donations and delivering them to the respective organizations and also provide the information to volunteers of that organization to maintain transparency.
Project Title : AGRARIAN- COOL RANCHER
Project Id : 17MINI-B16
Guide Details : Mr.V.N.L.N Murthy, ASSITANT PROFESSOR
Team Members : 17881A05A3 AVULA SARIKA
17881A0572 ATTULURI HARSHA VARDHAN
17881A05C0 MARGAM VIVEK
Abstract : A major problem that farmers face in agriculture is finding the cold storages in their locality.
This project aims to create a web application to provide information about cold storages that includes the capacity of storage left and type of crop that they can store.The farmers can directly request owners and get reserved.Farmers no need to bargain and can have fixed and transparent costs.To have a scalable website we use Django framework which uses html, CSS in the frontend for user-friendly interface. Django based backend. And sqllite based database.
Project Title : PREDICT THE POPULARITY OF ARTICLES
Project Id : 17MINI-B17
Guide Details : Mr. V N L N MURTHY, Assistant Professor, Department of CSE
Team Members : D.Sriharsha, B.Gopi, A.Naveen chary
Abstract : MASHABLE.COM is a global, multi-platform media and entertainment company. Powered by its own proprietary technology, MASHABLE.COM is the go-to source for tech, digital culture and entertainment content for its dedicated and influential audience around the globe.
Just like any other media company MASHABLE.COM’s success depends on the popularity of a
Project Title : Smart Restaurant Interface
Project Id : 17MINI-B18
Guide Details : M.Y.Babu,Assistant Professor
Team Members : Akshay Golkonda, Brahmadevara Subramanyam, Kethavath Naresh
Abstract : This project aims to reduce the workforce required in restaurants and hotels.
To eliminate this problem, we create an Application so that customers can book their tables beforehand and also order food through the application. The available items menu will be displayed in the application. Customers can choose their choice and quantity required. Items which have ran out of stock or addition of new items can be updated in the menu spontaneously. Order misplacing can be avoided drastically. Chefs will have updated notification about orders from their screens.
We are doing this project to improve the work efficiency in a restaurant with the help of modern technology.
Project Title : Crime Investigation Portal
Project Id : 17MINI-B19
Guide Details : THIMMAPURAM MADHURI
Team Members : A.SUMAJA REDDY MORE PAVAN KALYAN YATHAKULA ALEKYA
Abstract : The aim of Online Crime management and reporting System will be to create a web based program using which people are able to report crime online. It provides facility for reporting online crimes, complaints, missing persons, show most wanted criminals, and safety tips for awareness of the people. It also gives the facility of uploading videos or images of crime scenes to ensure that authorities can take action immediately.
Any Number of clients can connect to the server. Each user first makes their login to sever to show their availability. The server can be any Web Server. The Online Crime Report project is to provide all crime management solutions which are easily accessible to everyone.
The Crime application starts with the common people who want to log a complaint through the website so it can be very useful for police department to find out the problem in the society without people are coming to the police station every time.
Project Title : FACE MASK DETECTION
Project Id : 17MINI-B20
Guide Details : Ms.Thimmapuram Madhuri, Assistant Professor
Team Members : K.Trisha Reddy
Paltya Anil Naik
K.Samyuktha
Abstract : The Mask Detection app will detect whether the person is wearing a mask or not.
During the days of COVID its very difficult for anyone to step out without mask and there will be places where no one to check, does he/she wearing a mask.
At that times the monitoring systems in any of the public places like malls,theater etc will detect the person. If he/she is not wearing the mask it will alert the person and will not be entered into the place and remainds to wear mask.
This application will be useful during COVID times,helps in rescuing oneself
Project Title : GAMIFIED QUIZ
Project Id : 17MINI-C1
Guide Details : Dr.RAJANIKANTH ALUVALU ,Head Of The Department
Team Members : AKKEM ABHINAV YADAV,GOLLA BHARADWAJ SAI,PATLOLLA INDRA CHARAN REDDY
Abstract : Gamified learning integrates game mechanics into the process of learning. Examples of game mechanics are (high) scores, levels, achievements, immediate feedback loops, and time pressure. These elements are what make a game a game, and if applied correctly they make it fun to play the game. Our current technology enables educators to implement game dynamics in their work. For example, creating a quiz app for students.
A common feeling among teenage students is that they are not learning for themselves but “because they have to”. This is due to a lack of feeling of autonomy and is difficult to solve completely, but applying gamification in education can help.
So we propose an online quiz application with the gamification elements to make conducting quizzes and writing quizzes more interactive and fun. This provides a competitive platform, where a student not only judges their knowledge/skill but they also can improve their knowledge and skill at the same time.
Project Title : A WEB SCRAPER FOR ANALYSIS OF CUSTOMIZED DATA
Project Id : 17MINI-C2
Guide Details : M.A.RANJIT KUMAR (ASSISTANT PROFESSOR)
Team Members : K.Adithya Reddy
R.Aditya Vardhan
CH.Namrath
Abstract : Web scraping,Web Data Extraction or Web Harvesting is data scraping used for extracting data from websites. The implementation of Web Scraping has a lot of confusion because some websites do not allow certain kinds of data mining. Web scraping is a popular way of collecting information as these kinds of aggregated data resources become more capable.As we know the data in most of the websites are in unstructured format,while using web scraping the required data can be converted to structured format.There are different ways to scrape the data from websites such as online Services, APIs or writing your own code.
To grasp web scraping, it’s important to first understand that web pages are built with text-based mark-up languages- the most common being HTML. A mark-up language defines the structure of a website’s content. Since there are universal components and tags of mark-up languages, this makes it much easier for web scrapers to pull the information it needs.
The first step of any web scraping program is to request the target website for the contents of a specified URL. The information is usually returned to the scraper in HTML format. Which is the file type used to display all the textual information of a website. We need to select which fields need to be extracted,so as to move to inspect code of the website and to select the names of different tags like ‘div’. Then,the code is to be implemented with different modules of python like BeautifulSoup,Python Requests,Pandas. After the implementation of the code, as we run it, then the data is usually extracted. After extracting the data, we might want to store it in a format. This format varies depending on our requirements. The extracted data is to be stored in a database for future references and also to represent visual implementations like bar graph,pie chart,scatter plot etc.
Project Title : CALORIE MANAGER
Project Id : 17MINI-C3
Guide Details : Mr.A.Ramesh , Assistant professor
Team Members : Bhuvaneshwari Gongle
Aishwarya Raj
Sindhuri
Abstract : The title of the project is calorie manager. As the name itself says it manages the calories of the food that we take.
In this project , the users have to enter the food taken by them and it will calculate the number of calories consumed by them and give them the count . This helps them to keep track on their food which intern helps them maintain their health. Now a days in this busy world many people don’t give importance to their eating habits , this web application would be really useful for them to know how much calories they are consuming. And our first bone is a registration form. I’ve tried out numerous apps for tracking food, and they all start with asking you to fill in the questionnaire. In fact, you shall not pass until the application has the fullest info about your current state. Actually, this move seems quite logical. Because this is typically what you do when you come to a live nutritionist or coach.
However, our in-app registration procedure is a bit different and includes one more action to be performed before giving an exhaustive description user’s physical condition. I mean a standard signing-up via email or social networks.
This basic web application helps them in Keeping track on their food without spending huge amounts of money on nutritionists and electronic gadgets.
Project Title : VMATE (E-LEARNING PLATFORM)
Project Id : 17MINI-C4
Guide Details : MR. G.S PRASADA REDDY, Assistant Professor
Team Members : NUNNABHATLA HARSHITA, P ANJALI, PATLOLLA VINITH
Abstract : VMATE (E-Learning Platform) provides an interface for learners, which is of great significance and practical value for the improvement of learning and teaching quality. The use of Laptops and the Internet has produced technological conditions for instructors and students who can take advantage of the diversity of online information and communication with others. This can be used by educational institutions and colleges for different learning environments, where they can have computer-mediated instruction, blended-learning, and increased possibility for better quality and quantity of human communication in a learning background.
The main idea of this project is to provide a web application which facilitates delivery of courses and training programs which are asynchronous.
The system uses MySQL, PHP, Bootstrap and other similar technologies for its development, including types of users like administrators, teachers, students.
Project Title : Motion detection & Alerting system
Project Id : 17MINI-C5
Guide Details : Murlidher Mourya
Team Members : CH. Mahesh Kumar
G. Bhageerath Chakravorthy
Durga Nagendra Akash Mallareddy
Abstract : In the era of Internet and with increasing number of people as its end users, a large number of attack categories are introduced daily. Hence, effective detection of various attacks with the help of Motion detection is an emerging trend in research these days. Existing studies show effectiveness of several approaches in handling motion detection. In this work, we aim to enhance detection rate of Motion detection by using open cv and also add a feature to alert the authority about the detection via email
Project Title : FITNESS CLUB
Project Id : 17MINI-C6
Guide Details : B. Maha Lakshmi, Assistant Professor
Team Members : TANKARY BINDU VAISHNAVI , MANDHA MOUNIKA , B SPANDHANA
Abstract : The purpose of Fitness club is to automate the existing manual work system in the gym center with the help of computerized equipment’s and full-fledged computer software, fulfilling their requirements so that their valuable data/information can be stored for a longer period with easy accessing.This also helps users to workout according to their timeslots instead of waiting for equipment’s. The organization can maintain computerized records without redundant data entries. Basically, the project describes how to manage for good performance and better services for the users and reduce manual work for users.
Project Title : ANDROID APPLICATION FOR FINANCE MANAGEMENT
Project Id : 17MINI-C7
Guide Details : D GANESH , ASSISTANT PROFESSOR
Team Members : DEEPAK SINGH THAKUR – 17881A05D5
KADUKUNTLA PHALGUNA REDDY – 17881A05E9
KANDE SWATHI – 17881A05H6
Abstract : There are many business owners who still are using physical records to maintain their transactions .This process is time consuming and also may not be accurate all the time .This application is focused to solve that problem. It eases the maintenance of all transactions .This application is mainly focused on chit fund business which involves a lot of transactions . By using our app owner of the chit fund can create chit and he can customize the chit based on his requirements. He can add members of that chit. Member of the chit also downloads the app in which he can verify his payments and details about the chit. Owner can update a member’s payment by click of a button and he can also generate due list by the end of the month without any extra effort. Owner can also send messages to the members regarding payments or push notifications .Members of the chit can also use chat option to bid online if the chits are bid based and we are also giving credit score for each user based on his payments.
Project Title : COVID19-CHATBOT
Project Id : 17MINI-C8
Guide Details : Mr K Kotaiah Swamy,Assistant Professor
Team Members : M Prathyusha,B Ganesh,P Prashanth
Abstract : The Coronavirus outbreak has major consequences for society worldwide. In times of crisis, communications systems are often overwhelmed with people trying to find basic information about statistics, latest news and other resources. When communication lines get clogged, people who need real help can’t get through. Chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. Our Chatbot allows information access through text-based interaction that is proving its worth during the coronavirus crisis. Our Chatbot gives response to thousands or even more messages per day. It plays a critical role in helping communities to quickly understand crucial information. It can also answer all the FAQ’s related to Covid19.This Chatbot shows the statistics of covid cases across worldwide, country wise and Indian states.
Project Title : AUTOMATED TIMETABLE GENERATOR
Project Id : 17MINI-C9
Guide Details : Laxmi Sunaina, Assistant professor
Team Members : R Harsha
R Sai Deeksha
S Vamshi Krishna
Abstract : Preparing a time table for an educational institution manually is a time-consuming job and also requires a lot of planning and effort. Even though most of the work in schools and colleges is automated but timetable scheduling is done manually. It takes a lot of time while considering the smallest constraints to schedule a time table and that would even increase in case of huge constraints. Many times, people tend to refer to the previous year’s timetable while making some modifications; But this too shall take a long time. Sometimes, it is very difficult to reschedule the time table within less time whenever a faculty is on leave. We can’t edit the timetable and get it reviewed whenever changes are required. Our idea is to implement a simple automatic time table generator with which the creation of the timetable is all automated, saves time, and reduces manpower to a huge extent. We take inputs like teachers, semester, no of subjects, no of periods, the priority of subject, working days; Using these inputs, the system will generate time table. Developing an automated timetable generator gives flexibility for both students and staff so that they can easily check in their mobiles or desktop whenever needed. Our idea is designed with an emphasis on the requirements of engineering colleges and can simply be extended to other institutions based on their requirements.
Project Title : DATA TRANSMISSION USING STEGANOGRAPHY
Project Id : 17MINI-C10
Guide Details : Mr. Gouse Baig Mohammad,Assistant Professor
Team Members : BENDA SAI KARTHIK-17881A05G0
SOMA HARSHITH-17881A05E0
C MAMATHA-18885A0519
Abstract : In the modern era, the security of information has become an important priority. We are regularly coming across many issues where many malicious things are being done by taking the information secretly. Steganography is one of the technique where we can secure the information while transferring from sender to receiver. There are various carrier file formats of which hiding in images is the most effective and efficient method. Also to store the secret information in images there are various techniques which have their own advantages as well as disadvantages. Our project intends to hide the information in an image and transfer securely without any attack by the third party.
Project Title : GRIEVANCE REDRESSAL SYSTEM
Project Id : 17MINI-C11
Guide Details : MR M Y BABU(Assistant Professor)
Team Members : GOURISHETTY SAIRAM, SOKKULA NITHYA, MEKALA PAWAN KRISHNA
Abstract : Grievance Redressal System is an online platform to receive and act on complaints reported by students of private or public institutions, enabling
prompt actions on any issue raised by them and to avail services more effectively.Grievance Redressal cell member deals with all types of grievances, complaints including those received from Students, Faculty and other Stakeholders.
Grievance Redressal System can be handled directly by institutes through their own websites. The smart web portal for grievance processing connects students and action-takers directly through online platform. Grievance System helps to pursue quick action for solving the grievance, while maintaining affordability and ease to the users.
A student/staff of the institution can lodge complaint through the system by registering in the website.
After successful registration of the complaint, the user will get a complaint ID for future reference.
Admin will verify the authenticity of the complaint and forward the complaint to the concerned grievance cell member who deals with the specific complaint category for attending the grievance promptly and effectively.
The Grievance cell member after proper redressal of the complaint sends reply to the complainant with supporting files, if any.
Once the complaint is resolved, petitioner will get an alert message and he/she can view reply to the grievance posted.
The complaints redressed will be shown as closed and the complainants can reopen the case if they are not satisfied with the solution or action taken on their grievance.
Project Title : MOBILE APPLICATION FOR COLLEGE BUS TRACKING
Project Id : 17MINI-C12
Guide Details : Sahithi Godavarthi Assistant Professor Department of CSE
Team Members : Lingala Rohith
Mahajan Sanjana
Kummari Mahesh
Abstract : We know that each satellite knows the exact distance from the other satellite in its proximity and GPS tracking device receives signal from the GPS satellite. GPS receiver can calculate its exact location in the ground depending on the time it takes for a signal to reach the device from each satellite. The GPS tracking device can then route that information back to an Online Tracking System for mapping.
The main aim of this Android application is to track our college buses which would give the exact location of buses with the help of Google map and help the user to plan their way and makes sure that he/she would not miss the bus. This application also helps parents no to get panic if his/her son/daughter haven’t reached home in time they can go to application and check the location of the bus. It also helps if he/she miss the actual bus then they can look for the buses which are about to reach their stop and can board so that they can go to college
Project Title : Stock Management And Estimation Tool
Project Id : 17MINI-C13
Guide Details : Mudrakola Swapna, Assistant Professor
Team Members : Konda Sharan Sai Reddy, Shaik Roshan Nabi, Chityala Raju,
Abstract : One fine day, you need to go for shopping items for your house. You have memorized the items you need and went for shopping. After shopping for a long time, when you have reached home, you found out that you have missed a lot of items which had to be purchased. You have also purchased items which you already have in your house and they might be of high price. So, to overcome these issues faced by many households, we have come up with an idea of developing an application which solves all these issues. It takes all the items needed for a particular household and keeps track of the items usage daily based on the estimation given by the user, and informs the user when the stock is low. The user can refill the items in the application with ease.Suppose, you need to go for shopping items for the next 1 month and you don’t know what items you need to buy and in how much quantity, we provide the solution with just a single click which takes into consideration the current stock you are having and suggests the accurate count of stock you need in addition along with the price. Apart from these, we also provide a reminder facility so that the user won’t forget his needs and finishes all his reminders.
Project Title : KNOW UR COLLEGE
Project Id : 17MINI-C14
Guide Details : KUMAR BADUR
Team Members : SHAIK SHOEB SAMEE
S SAI KIRAN
CHINNOLLA CHANDRAHAS
Abstract : We aim to create a chatbot capable of answering student’s queries regarding colleges.
This chatbot helps the student decide college based on his/her field of interest and also helps students determine the possible best college based upon his/her rank.
This bot uses TS EAMCET rank/score to predict student’s chances of getting admission into the best possible colleges
Chatbot equipped with an advanced algorithm that takes opening & closing ranks of previous year TS EAMCET counseling data to predict the best possible colleges you might end up landing
Chatbot narrows down colleges based on the choice of interest and his/her credentials (Rank/Caste/Certificates).
There are many websites that provide you information regarding the opening and closing ranks of a college.
But they don’t sort the colleges based on the field of interest which is done by the proposed chatbot.
Some Articles and websites provide us the sorted list of colleges based on the branches but lack the information which is required by the student to predict the college he might end up in.
This chatbot reduces the manual compilation of knowledge from multiple websites and directly gives you the sorted list that you should be applying at the time of web counseling.
Students can know what rank he should aim to get into their Desired Colleges
It predicts all possible colleges based on the previous year’s cutoff.
This chatbot gives freedom to choose Best College Based On their preferred branch/the desired filter.
Users have many filters such as Fee, transportation, accommodation, etc. to choose from.
Guide student with queries regarding his/her desired college.
Project Title : EVENT BASED COLOR PERCEPTION
Project Id : 17MINI-C15
Guide Details : Mr. Upendar Para, Assistant Professor
Team Members : S. Sai Lakshmi, D. Shailaja, B. Sindhuja
Abstract : Color Perception is the process of detecting the name of any color. Color recognition is
necessary to identify any object. For humans it is simple as light receptors present in
our eyes transmit the signal to the brain and brain recognizes the color, but for
computers, it is an extremely hard task. Previous techniques detected the color based
on overall frame, they are unable to detect color of a particular position. They have
detected dominant color in the image. In this Python project, we are going to build an
application through which you can automatically get the name of the color by clicking at
any position in the image. For this, we will be using a dataset that contains the color
name and its red, green and blue components. Colors are made up of 3 primary
components: red, green, and blue. we define each color value within a range of 0 to 255.
We are using RGB color space which is an additive color model and Euclidean distance
calculation between color components to identify color at any position on the image. We
are aiming to implement the project using OpenCV, Numpy and Pandas.
Project Title : COMMUNICATION MEDIUM AMONG STUDENTS
Project Id : 17MINI-C16
Guide Details : Praveen mallu, Assistant Professor
Team Members : Saikiran,Saiteja,Sirichandana
Abstract : Due to lack of communication all these years many have missed their college bus so that the whole day for them had been wasted . Even freshers will find difficulty to find the route of college buses so they need to communicate with other students to know the route of bus. This idea can help in such kind of situations. If a person had stuck on his way then he can find contact details of his/her nearby friend using this web application
The main aim behind this idea is to establish communication among students. Communication medium among students consists of student login and admin login. Since students login with their college mail id, no other person who are not part of college will be able to view the student details. This project is beneficial for students who have stuck in the middle of their way to destination. This system helps the students to get the contact details of other students in particular locality, so that they can communicate and sort the issue of getting stuck at a place. The admin can update the database according to requirement. Admin can have overall rights to add or delete student details or update existing student details. A student will be able to see the list of other student contact details. This system handles student details and differentiate them based on their location. This project helps the students to save their time.
Project Title : HEALTH-BOT
Project Id : 17MINI-C17
Guide Details : Vijaya Bhaskar Reddy , Assistant Professor
Team Members : Marneni Sowmya
Daggula Thilak Reddy
Chatlapally Rajinikanth
Abstract : Presently we all are under a great threat that is Covid-19.Every one of us are worried about that.If they are facing with general symptoms like fever or cold they are unable to get a proper medication in present situation .Due to delay in treatment for these symptoms may leads to Covid-19.There are some bots for tracking Covid-19 and other diseases .so to overcome this fearsome situation we have come-up with an idea called HEALTH-BOT.By using this HEALTH-BOT people will get benefited by getting proper prescription and kind of food need to take for the respective health issue .Also,if they are facing with any minor injury ,HEALTH-BOT can help them to do First-Aid by performing diagnosis based on the user input and provides him/her certain guidelines which can give immediate relief to the patients.Another feature from our HEALTH-BOT is,in case of major issue it will provide the nearest hospital in current location and also it will guide the user with a basic First-Aid until they can reach the hospital in needy times.It finds entity and intent of the user process the data search for the information and gives output which the user needs.So our HEALTH-BOT will reduce the death rate count which were happening for general health issue and help people to take care of their self by following the guidelines given by our HEALTH-BOT. Its main idea is to rule out the shortage of health care workers .This is been developed by using Anaconda IDE,Visual Studio and Rasa Installer.Our system is developed to Preserve Life,Prevent Deterioration and Promote Recovery.
Project Title : FLU DETECTION USING DATA MINING TECHNIQUES
Project Id : 17MINI-C18
Guide Details : MS.T.JAGADEESWARI (ASSISTANT PROFESSOR)
Team Members : MIRIYALA PRANEETH
MYNAM MANEESH VARMA
MADHIRA VENKATA SAI YESHWANTH REDDY
Abstract : People in these days have been influenced by the modernization in lifestyle and food habits are trying to defray from the healthier food which we have from ancient culture, but are falling into indigent practices and we have to find the reasons for the main causes of disease and how people are prone to illness. A variety of artificial neural network prototypes are examining in terms of their categorization effectiveness in swine flu infection. The implementation results exhibits enhanced accuracy than conventional classification methods and is a reasonable and earlier diagnosis of swine flu. This method provides suitable alternative of medical features for identification of swine flu status. It also provides insight into the classification of individuals regard as an “unidentified” phenotype on the origin of standard diagnosis methods. Scalability is the key challenge for large volumes of data. We are applying different data mining techniques for analyzing and prediction the data.
Project Title : SECURITY ENHANCER
Project Id : 17MINI-C19
Guide Details : Pallati Narsimhulu , Assistant Professor
Team Members : Kakathota Karthik Shetty
Krishna Sai Praveen Vellampalli
Sunil Kumar Dharamkar
Abstract : Security enhancer is an application ,which is used in cryptography and it is an extended version for morse code, and morse code is one of the oldest and successful algorithm for encryption, but it has some limits and defects as well one who is skilled listener and observer can easily identify morse code and decrypt easily by attackers ,so we have modified using different key and value pairs ,by these security will be enhanced and improves confidentiality between the end users. By using this app at sender side the message information is encrypted and at the receiver end the message is decrypted. So that plain text information is secured from attackers.
Project Title : ONLINE TEACHING PORTAL
Project Id : 17MINI-C20
Guide Details : Mr. C.Satya Kumar, Assistant Professor
Team Members : 17881A05F3-T.Ranjith
17881A05H3-R.Shravan
17881A05C6-C. Akhil
Abstract : Online teaching portal is an online platform to learn the selected subject taught by the selected faculty.
Our Portal provides different subjects to the students in different streams and each subject will have more than one teaching faculty. Out of them the students can select their wished faculty. Once the course is complete students will give review about the faculty who taught the subject and students performance is also monitored.
Our project can easily adopted by the institutions like colleges and schools where learning plays major role.
Project Title : ZERO HOUR TRIP CONTROL
Project Id : 17MINI-C21
Guide Details : S.VENUGOPAL ,ASSOCIATE PROFESSOR
Team Members : SRINIJA ANUDEEP ARUN
Abstract : In this project, we identify the level of glucose in the glucose trip bottles that are used in the hospitals. When the glucose bottle is about to be emptied and half of the bottle is emptied, an alert message is made to send to the nurses working there. Three important modules are used for this purpose. Load sensor is used as the input module which is used to measure weight and send data to the controller. Arduino ATmega board is used as a controller module that process the data received from the sensor. GSM module is used as the output module which detects the control given by the controller and sends an alert message to the nurse phone number. If weight of glucose bottle is less than threshold i.e., If(weight of glucose<threshold)arduino sends="" message="" to="" mobile="" using="" gsm="" else="" new="" information="" of="" weight="" is="" processed="" in="" arduino="" and="" proces="" repeats="" nurses="" different="" rooms="" can="" receive="" messages="" about="" glucose="" level="" the="" trip="" bottles="" which="" are="" present="" other="" roomsto="" send="" a="" doctor="" nurses’="" cell="" phone="" for="" continuous="" monitoring.="" there="" 2="" ways="" connecting="" module="" arduino.the="" communication="" between="" serial.gsm="" tx-="">Arduino Rx and GSM Rx->Arduino Tx. Connect the ground pin of arduino to ground pin of GSM module. To make the system flexible so that in case of emergency the patient himself can alter the saline flow rate by checking the LED screen.To make the saline monitoring automatic and inform the doctor/nurse spontaneously for patient safety and easy access when required.Here an alert message is sent to the nurse continuously i.e.,when bottle is full,half and about to be emptied.There is also a special case when glucose in bottle remains same.In these 4 cases alert message is sent to the phone.Hence immediate action can be taken without having a problem
Keywords: Scaling, Atmega Controller, GSM Module & Glucose Trip Controller</threshold)arduino>
Project Title : College Enterprise Resource Planning System
Project Id : 17MINI-C22
Guide Details : PRAVALIKA V.B
Team Members : V ANVITH KUMAR
SRUTHI RAVURI
AMGOTH AJAY
Abstract : This report specifies the various processes and techniques used in gathering requirements,
designing, implementing and testing for the project on college management system. The
problems regarding the current system in the college were analyzed and noted. This project aims
to solve some of those problems and thus, add more value to the current system.
Project Title : Color Detection using Open-CV
Project Id : 17MINI-D1
Guide Details : Dr.H.Venkateshwara Reddy Sir(Professor,Department of CSE)
Team Members : Kallem.Bhavani[17881A05K0]
K.Charan Reddy[17881A05N3]
Venkata Sailesh[17885A0509]
Abstract : Colour detection is the process of detecting the name of any color. For humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
In this color detection Python project, we are going to build an application through which we can automatically get the name of the color by clicking on the Image. So for this, we will have a data file that contains the color name and its values. Then we will calculate the distance from each color and find the shortest one.
DataSet :
Colors.csv from Kaggle.com
This colors.csv file includes 865 color names along with their RGB and hex values.
Dependencies:
Open-CV
Pandas
Numpy
OUTCOME:
The outcome of the Color Detection python project is to get the colors of an image and it is useful in numerous image editing and drawing apps.
Project Title : DIGITAL STEGANOGRAPHY
Project Id : 17MINI-D2
Guide Details : MR.VIVEK KULKARNI , Assistant Professor
Team Members : SAVADA SWETHA ,
SANTHOSHAM MALLIKARJUN ,
DANDU NIKHIL KUMAR.
Abstract : The growing risk of cyber security needs to be urgently addressed as data is one of the most important assets to be taken care of during transmission over the internet. Steganography is the technique of hiding confidential information within any media. Steganography is often confused with cryptography because the two are similar in the way that they both are used to protect confidential information. The difference between the two is in the appearance in the processed output; the output of steganography operation is not apparently visible but in cryptography the output is scrambled so that it can draw attention. Steganalysis is a process to detect the presence of steganography.we have different approaches towards implementation of steganography in multimedia data like text, static image, audio and video.In this project we are trying to elucidate the implementation of steganography using image file with LSB substitution Algorithm .
Project Title : COLLEGE AND STUDENT QUERY BOT
Project Id : 17MINI-D3
Guide Details : Mr. A Bhanu Prasad, Assistant Professor
Team Members : Nikhil D Dhore,Shaziya Tabassum,B Rajesh
Abstract : Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involved using a search engine, or filling out a form. A chatbot allows a user to simply ask questions in the same manner that they would address a human. The most well-known chatbots currently are voice chatbots: Alexa and Siri. However, chatbots are currently being adopted at a high rate on computer chat platforms. The technology at the core of the rise of the chatbot is natural language processing (“NLP”). There are two main approaches related to Machine Learning in NLP, like rule-based methods, and statistical methods. There are several exciting Python libraries for NLP, such as Natural Language Toolkit (NLTK), spaCy, TextBlob, etc. College and Student Query Bot will be used for small conversations, as well as solve some queries of students and parents related to the college.
Project Title : SORTING VISUALIZER
Project Id : 17MINI-D4
Guide Details : MS. V. UMA MAHESWARI, Assistant Professor
Team Members : ANUMOLU BHADRI JAI SANTHOSH
PARAPATAKAM SRUJANA
AGIRI VAMSHI KRISHNA
Abstract : Humans are accustomed to the technology which made lives far better than anticipated, always try to reduce the complexity and try to make it in a comfortable way. As human is insidious, adept to picking up concepts by seeing it done, rather than reading about it.
While learning about sorting algorithms, seeing the data move to its correct position under the constraints of an algorithm is much easier to follow than tracing the code by hand. This led to the inspiration of creating a sorting visualizer that animates how sorting algorithms modify and organize a set of data. In the sorting visualizer, each number in the data is illustrated as a bar and has a different height based on the value. The value selected will be in a different color, in order to distinguish it from the other while it is being shifted by the algorithm from its original position to its final ordered position. Over the years there have been many studies and papers on the use of sorting algorithms as visual aids. Some are comprehensive views on how to create animations and perform statistical analysis, and others focus on different techniques aimed for increased understanding. This project aims for the better understanding of sorting algorithms .This project provides two standpoints to look at algorithms, one is more artistic, the other is more analytical aiming at explaining algorithms step by step
The purpose of our project is to help users better understand algorithms in a better way to avoid complexity by tracing it manually
Project Title : INVOICE GENERATOR
Project Id : 17MINI-D5
Guide Details : Mr. SHRAWAN KUMAR, ASSISTANT PROFESSOR.
Team Members : SAI NATH KOTAPALLY, POLE SHIRISHA, DONEPELLY SUCHITH
Abstract : This Project is used to generate the billing invoice using SAP. This automates the process of giving a bill. The advantages of e-invoicing are clear: It’s faster, less expensive and more reliable, and it takes the inefficiency of paper out of the process. This prevents the fraud of fake bills and also act like proof of delivery.
The details of every product will be stored in the database and then the invoice is generated. Invoices are securely transmitted from SAP applications. The generated invoice will consist of a unique bar code.
Project Title : ZROTR
Project Id : 17MINI-D6
Guide Details : D.Ganesh,Assistant Professor
Team Members : S.Rithwik
P.Mohan
J.V.N.L.S.Monika
Abstract : ABSTRACT:
One of the most important skills required of anyone who wants to be an excellent communicator is that of being able to listen effectively. Listening, in particular, is the most demanding of all the language skills, as it is a vital discovery that enable user unmask creative ways in which language is pronounced and comprehended. However, there are many people who seem to lack this powerful and vital resource which results in a less than perfect communication. It is interesting to note that our studies over the last 10 years indicate that many people believe that they are good or great listeners – until they do our test!
Knowing how to spell is a fundamental part of being fluent in any language. Whether you are a youngster learning how to spell or an individual learning a new language being able to practice helps to solidify your language skills.
We propose an app that helps user practice their spelling by playing the audio recording of a word the user must then spell using the computer keyboard.
NOTE: To implement this project we are going to use the technologies like PYTHON, FLASK,HTML,CSS,JAVA SCRIPT and referencing Cambridge Dictionary.
Project Title : ONLINE-VOTING SYSTEM
Project Id : 17MINI-D7
Guide Details : Ms.S.Laxmi Sunaina , Assistant Professor
Team Members : Amrutha Pranavi Gadhamsetti , Sai Phanindra Akula , Yashwanth Reddy Kalam
Abstract : We are developing an on-line voting system by taking advantage of centralized database with
a web interface. The main concept of this project is to build a website , which will be able to
allow people to cast their vote through on-line. Time saving , working load reduced , information available at time and it provides security for data.
In a democratic country like India we are not getting 100% of voting. People are not ready to poll their vote because of many factors like people can’t go to the polling stations to cast their vote(especially aged persons and physically challenged people). People may be at remote places .
There are several issues with traditional paper based voting like ridging votes during election , insecure or inaccessible polling stations , inadequate polling materials and also inexperienced personnel.
This On-line Voting System seeks to address the above issues. With this system , the citizens may get ample time during the voting period.
Every citizen is registered first and all the details are managed at centralized database.
And at the time of elections the citizens will be login through their credentials and cast their vote
Project Title : EXPLORATORY DATA ANALYSIS AND VISUALIZATIONS ON STUDENT CHALLENGES
Project Id : 17MINI-D8
Guide Details : DR GOUSE BAIG MOHAMMAD, Associate Professor
Team Members : Paramkusham Ananya, Mustyala Jahnavi, Valapureddy Gargayini
Abstract : Education is important for each and every individual. During this pandemic all the classes are
conducted through online. Students will attend the classes, but we do not know what is
happening in background. Students may face some difficulties in learning the concepts due to
some reasons. The problems faced by each and every student during online classes is not known
usually. The percentage change in attending the classes is also usually not known.
The aim of us is to find the difficulties of students in attending classes and what is the
percentage change in the number of students during morning and afternoon classes using Data
Mining through Data Visualization and Data Analyzing concepts. Graphs are used to visualize
the percentage change in attendance of students. By analysis it is easy to find which group of
students are facing the difficulties. Graphical representations are provided to identify percentage
change
Project Title : CLASSIFICATION OF ROLE OF A CRICKET PLAYER BY THEIR ACTIONS USING DEEP LEARNING
Project Id : 17MINI-D9
Guide Details : Mr. UPENDRA PARA , Assistant Professor
Team Members : MIDDEY PRAGNA GAYATHRI
ARIKONTHAM SAIDEEP REDDY
VUDEM SANJAY REDDY
Abstract : Cricket is a game played between 2 teams where each team has 11 players each.
Cricket players will be having different roles such as a batsman, a bowler, a wicket keeper and fielders along with umpires. We can classify them with the help of actions like, a batsman hits the ball with the bat, a bowler bowls the ball to the batsman, a fielder stops the ball and an umpire signals the decisions(boundaries, extras , wickets, etc.,).The video classifier we are going to develop will classify the role of player based on the actions. There will datasets which will be trained using deep learning techniques such that the role of a player can be found out using his actions from a given video.
Thus we are developing a system intelligent in a way such that it can identify the role of a player using his actions with the help of deep learning.
Project Title : VARDHAMAN ONLINE TICKETING ANALYSIS SYSTEM
Project Id : 17MINI-D10
Guide Details : G.Madhavi, Assistant Professor
Team Members : Shiva Keerthi, KOTHA ABHINAV REDDY,K. DEEPTHI REDDY
Abstract : A “ticketing system” converts all incoming support requests from multiple channels into tickets. From the ticketing system, it’s easier to prioritize, track and follow-up on customer requests from one place. This will help your customer support team communicate better with customers, and handle issues more efficiently.
Project Title : VARDHAMAN ONLINE TICKET MANAGEMENT SYSTEM
Project Id : 17MINI-D11
Guide Details : G.Madhavi, Assistant Professor
Team Members : Manchikanti MahaLakshmi, Mohammed Haseeb Ur Rahman, Vaddepally Abhilash Kumar
Abstract : Vardhaman online ticket management system application aims at automation of ticket processing from offline mode. This helps to organize, focused, effective and efficient manner. This also involves in analysis of tickets its performance, availability and load management. It enables you to attach documents, screen shots to tickets. It has an efficient and comprehensive notification alerting system to the requestor, approval authorities and also IT help desk team.
How does a ticketing system work??
It’s an intranet-based application, which is not available for other users outside the organization. Employees of the organization once identified the problem want to coordinate to the concerned department in an online based application which helps in managing the ticket in an efficient and effective manner.
Once the ticket is raised in the system, it is then triggered to the approval authorities once they approval is accepted the ticket is then moved to the help desk bucket, Help desk head will check the availability of the resource and allot one of the available resource to the ticket, who can resolve. Once the ticket is resolved the respective people will be notified through the email alerting system.
Essential features of ticketing system:
1.Helpdesk ticketing software lets you support your employees through email alerting process. This makes it that much easier for the support agents to tackle queries from a wider audience, and respond quickly and efficiently without having to juggle between various departments and overloads.
2.The right helpdesk ticketing software will have support for an extensive knowledge base where you can add detailed solution guides and articles. This can be a valuable resource to employees, as they would be able to find answers to frequently occurring problems, without having to reach out to your support team every time.
3.Basically, the technology used here is Microsoft share point development, issue tracking, document libraries and site management.
4.We use agile methodologies that involves scrum, scrum master and sprint during the project management.
5.Aiming at providing user guide documentation and automation testing for the application.
REFERENCES:
1. https://freshdesk.com/eu/solutions/ticketing-software/
Project Title : SELF-ASSESSMENT IN ORGANIZATION TOWARDS CORONA VIRUS DISEASE 2019 (COVID-19)
Project Id : 17MINI-D12
Guide Details : MUDRAKOLA SWAPNA, Assistant Professor
Team Members : S. Manvitha (17881A05L4), Ch. Abhinav Chandu (17881A05J2), Y. Harshith Reddy (17881A05K5)
Abstract : The main aim of our project is based on the current pandemic – covid19, we are trying to reduce the spread of the virus, as yet vaccine and proper medication to find is long to go, as our daily life is inevitable, we are taking digitalized precautions and to run our organization. Every person should do a self-health examination and keep track of record in our application, every person is done screening test by security and record the data, our application will check for travel history, COVID test details, quarantines details and status of physical test done personally from past 5-days along with basic screening done by the security team. Our algorithm can decide that a person entry risk is low, moderate, or high.
Project Title : SOCIAL DISTANCE DETECTION USING ARTIFICIAL INTELLIGENCE
Project Id : 17MINI-D13
Guide Details : V.B.PRAVALIKA,Assistant Professor
Team Members : TADKAPALLY ROCHISHNA-17881A05N0
KURUMILLA SRILEKHHA-17881A05P2
KOLAN SHARATH REDDY-17881A05N7
Abstract : It is a set of regulations and restrictions to be taken to put an association or commonality
cautiously. When two persons are in proximate than the confined stretch, we may also be at risk
of epidemic, so to concenter some outstrip among them and notify them if they attain closer to
each other. This project is aimed to support and mitigate this pandemic along with minimum loss
of economic endeavours, and propose a solution to detect the social distancing among people
gathered at any public place. Object recognition also plays a vital role in
recognizing whether the object is living or non living thing and also helps us to calculate the
distance maintained by human beings. Using machine learning algorithms like Region based
convolutional neural network and You only look once(YOLO) algorithms we train the machine
to recognize the objects and artificial intelligence to detect the objects in that particular choosen
region. Keeping this pandemic in view this application can be remotely maintained.
Project Title : PLACEMENT MANAGEMENT SYSTEM
Project Id : 17MINI-D14
Guide Details : SOWMYA DUDYALA, ASSISTANT PROFESSOR
Team Members : GURRAM CHAITANYA, DADAPURAM SAHITHI REDDY, SABAVATH SANTOSH
Abstract : Various software and other sector companies conduct campus selections for selecting merit candidates. When campus selections are conducted the students should provide their curriculum vitae to the concern officer for attending the campus interviews. This routine process is maintained manually, like maintenance of their resumes in papers. This can be automated by designing software. Campus Recruitment and Placement System aims at providing the compatibility to simplify the process of placement for students. This system that consists of a student login, company login and an admin login. This is beneficial for college students, various companies visiting the campus for recruitment and even the college placement officer. The system handles student as well as company data and efficiently displays all this data to respective sides. This System do all work regarding placement like collecting student records, Authenticate & activate the student profiles, check the number and percentage of placed & unplaced students. The administrator will create the users and the users will use the accounts created by administrator. When the user enters into his respective page he can update his details, and the details are to be approved by the administrator. The admin can check each student details and can remove faulty accounts. The system also consists of a company login where various companies visiting the college can view a list of students in that college and also their respective resumes. The software system allows students to view a list of companies who have posted for vacancy. The admin has overall rights over the system and can moderate and delete any details not pertaining to college placement rules. .
Project Title : SENTIMENT ANALYSIS
Project Id : 17MINI-D15
Guide Details : SOWMYA DUDYALA , ASSISTANT PROFESSOR
Team Members : M NITHEESH
R KRISHNA PREETHAM
A DINESH
Abstract : Sentiment analysis refers to the task of natural language processing to determine whether a piece of text contains some subjective information and what subjective information it expresses, i.e., whether the attitude behind this text is positive, negative or neutral. Understanding the opinions behind user-generated content automatically is of great help for commercial and political use, among others. The task can be conducted on different levels, classifying the polarity of words, sentences or entire documents.
In this project, we propose and investigate a method of elementary discourse unit(EDU) level sentiment analysis using discourse features. Following prior work, we hypothesize that when we want to predict the sentiment of a certain EDU, we can use the sentiments of other EDUs which stand in some discourse relation with the current one. For example, a Contrast relation is likely to signal that the sentiments of two arguments of this relation are different. Once we know one of the sentiments, we can try to use this information to predict the other one. Some discourse theories have been applied in this context, but no prior work compares relative influence of different discourse theories on the performance of sentiment analysis. To the best of our knowledge, this is the first work comparing different discourse theories in a principled way in the task of sentiment analysis, making use of state-of-the-art discourse parsers.
Project Title : CARE DENTAL
Project Id : 17MINI-D16
Guide Details : Mr.Mallu Praveen ,Assistant Professor
Team Members : Anugu Prasanna Laxmi, Goturi Prashanth Reddy, Mali Raviteja
Abstract : Now-a-days most of the people from the rural and urban were choosing a reputed doctor for the treatment. Mostly people in urban areas has been habituated of using online appointments for the user convenience. But mostly limited people in rural areas are aware of it. We the developers are going to build a user-friendly website for providing a unique platform for choosing their own hospitality.
We limited this project for the Dental care as of the information available. Our Project provides email and phone number authentication for the genuine of user. It also helps the patients for booking their appointment through online at any point of time. Our website also provides immediate medical assistance through chat box and communication through phone. So this makes people can access in an efficient way. Providing the patient’s history of illness will help dentist to treat them easily. Our website enables patient to book an appointment of their convenience of time.
With these case studies we choose to provide a user-friendly online service for people so that they can use it easily at any emergency. Our services provide both urban and rural people to access efficiently for their time being. The user can rate the service that has been offered so that new users can review the feedback and choose of their choice.
Note: We are going to implement this project by using JAVA, Java Script, Angular JS, HTML and CSS.
Project Title : A MACHINE LEARNING MODEL FOR PREDICTING DISEASE AND MEDICAL COST OF PATIENTS
Project Id : 17MINI-D17
Guide Details : Mr KUMAR BARADUR ,Assistant Professor
Team Members : MARLA KARNAKAR [17881A05K8]
CHILUKA DEEPTHI [17881A05K3]
ENUGU SHIVA PRANAY REDDY [18885A0527]
Abstract : Health care is one of the largest components of the global economy. People’s health care cost and Disease prediction is nowadays a valuable tool to improve accountability in health care.
An important informatics tool for controlling healthcare costs and diseases is accurately predicting the likely future healthcare costs and diseases of individuals is highly welcomed at this moment. To address all these problems, we are proposing to build a machine learning tool which can forecast the future medical costs and diseases of user based on symptoms.

    Major Projects

2019 - 2020

Project Title : Tweetment
Project  Id : 16MINIA-1
Guide Details : Ms.Thimmapuram MadhuriAssistant Professor
Team Members : K Sri Satya Lokesh, K Sai Siddhartha, K Ruthvik Reddy
Abstract Nowadays people are mostly using social media to express their views on a particular topic. People nowadays use twitter mostly to express their opinion on a particular thing by mentioning (tagging) about that in their tweets. So this analysis helps to predict the kind of opinions people are having on a particular topic based on keyword or a hashtag they usually mention while posting their tweets. The main objective of this project is to analyze the sentiment in real-time tweets based on a hashtag or keyword in twitter by text processing.
 
Project Title : Customer Requirement Analysis
Project  Id : 16MINIA-2
Guide Details : Mr Suresh Kumar Assistant Professor
Team Members : P Kalyan Bhushan, N Sriharshini Patel, E Akhilesh
Abstract To examine and analyze the user generated data and based on the results identify the customer requirements. Approach: 1. Taking some data sets from public sources and any other companys regarding sales. 2. Making use of deep learning models like CNN (convolutional neural network ) and its filters to extract the informative data from the above data sets . 3. Finally, extracting customer requirements manually.
 
Project Title : Online Food Recipe
Project  Id : 16MINIA-3
Guide Details : Mr Muralidhar Mourya Assistant Professor
Team Members : T Vignesh, Ch Shiva, P Sai Babu, L Sandeep
Abstract Today, there are a lot of recipes or cookbooks out there. There are a lot of recipe software applications and, literally, thousands of websites have recipes for everything. Though there is now more recipe or food or kitchen information available than ever, most of it is stuck in the trappings of the old fashioned cookbook where the user still have to flip paper pages, cannot combine multiple recipes into one meal and, unless the user have a very good memory, can seldom remember which book had what recipe the user might want. As the days go by, we tend to choose meals on the spur of the method, often based on what is easy or available. Our page provides the ingredients and the process of making a delicious recipe that user want to cook individually.
 
Project Title : Project Management
Project  Id : 16MINIA-4
Guide Details : Mr S K Prashanth Associate Professor
Team Members : G Sai kiran Reddy, K Anudeep
Abstract During project Development, forming of team and advancement for abstract submission and evaluation is the main problem. Each team has an Evaluator who suggest what are the changes needed and evaluate the projects frequently. Monitoring of activities in the project is an issue to be concerned about. To avoid
these problems, wed of a new application which can satisfy the participants by solving their issues and making their project submission and evaluation faster and secure. So, we thought of an solution in form of application named- STUDENT ACADEMIC PROJECT MANAGEMENT. In this we have a login page for the participants which will classify them based on credentials and form teams. Each team will be allocated an evaluator automatically to monitor their activities in both online and offline modes. The participants uploads their projects and abstracts which are monitored by the mentor, as such he can suggest the desired changes in the abstracts. In this we also have a facility of adding some specifications likeAssignment submissions, quiz ,chat box between mentor and participants etc
 
Project Title : Got Your Bank
Project  Id : 16MINIA-5
Guide Details : Ms Shoba RaniAssociate Professor
Team Members : Sravanth, K Nitesh, P Rohith, V Hemanth
Abstract There is a serious void of products in the market to deal with psychological problems/issues like stress, depression, anxiety and low self-esteem. The idea is to create a web site with an integrated trained bot. Website consists of resources to clinically explain an issue, measures to cope up with the issue, sections which help the victims to gradually come out of the issue using psychological effects of songs and others. The bot can act as an assistance and can clarify user issues.
 
Project Title : Student library application
Project  Id : 16MINIA-6
Guide Details : Mr Sai Krishna Mothuku Associate Professor
Team Members : M Abhishek,M Ravi Teja, P Ashok Chakravarthy, P Shanthan
Abstract The application keep’s track of every transactions and display all the details of the delayed books. Retrieve the information in minimum time. Simplifies the task and reduce the paperwork. Alerting the students about the delayed books.
 
Project Title : STUBEZZ
Project  Id : 16MINIA-7
Guide Details : Mr Satya KumarAssociate Professor
Team Members : K Bharath, G Saideep, T Pavan
Abstract The Physical Class-room Learning now-a-days no longer applicable for current generation,we find it difficult to overcome the learning challenges and the possible achievements.To bridge this gap,the concepts such as E- learning has become the part of effective education.
 
Project Title : DLS Estimator
Project  Id : 16MINIA-8
Guide Details : Dr S ShitharthAssistant Professor
Team Members : G Vineel Reddy, M Raj Datta, M Sachin, M Parthasaradhi
Abstract As we know that many of the matches are interrupted by rain,the target score for batting second is given by the method called DLS (Duckworth-Lewis-Stern)method. It is a mathematical calculation used to calculate target score. When overs are lost setting an adjusted target for the team batting second is not as simple as reducing the run target proportionally to loss in overs because a team with ten wickets in hand and 25 overs to bat can play more aggressively than if they had ten wickets and a full 50 overs.The basic principle is that each team in a limited-overs match has two resources available with which to score runs (overs to play and wickets remaining), and the target is adjusted proportionally to the change in the combination of these two resources.

 

 
Project Title : Student Profile Management
Project  Id : 16MINIA-9
Guide Details : Dr D VaishnaviAssistant Professor
Team Members : Abhishek Sunkara, B Sankeerth, B Saketh
Abstract Student Profile Management deals with two major components1.  Student Attendance

2.  Student Marks

•                    Student Profile management system has become important factors in modern education field.

•                    This system should help the institutional to stream line the administrative task and provide real time access to data

•                    Building this system app-based interface will further help the ease of accessibility through any mobile

 
Project Title : Chart Bot
Project  Id : 16MINIA-10
Guide Details : Dr Ashwani Kumar  Associate Professor
Team Members : D Anjan Kumar Reddy, M Pavan Kumar, MD. Afroz, K Chetan Raja
Abstract The users verify their data is free from bad words or not. They may have good conversation with bot like greetings. Chat bots typically provide a text-based user interface, allowing the user to type commands and receive text as well as text to speech response. Chat bots are usually a stateful services, remembering previous commands (and perhaps even conversation) in order to provide functionality.
 
Project Title : Olympic Analysis
Project  Id : 16MINIA-11
Guide Details : Mr V Vijaya Bhaskar Reddy Assistant Professor
Team Members : K Sushmitha, P Tejaswini, Shreya, Nikitha
Abstract Olympics are held every four years. They are considered the world’s foremost sports competition with athletes from more than 200 nations participating in variety of sports. Being the oldest and grandest sporting event ,a large amount of data has been acquired from games history . This project analyzes previous data and suggests improvements to the progress of country.
 
Project Title : Flip-Flop Word Game
Project  Id : 16MINIA-12
Guide Details : Mr S Venu Gopal, Associate Professor
Team Members : M Pragna Reddy, M Naimisha Reddy, MD Ayesha, G Niharika
Abstract In Flip-Flop Word Game, First, a word will be displayed on the screen for 50 sec and the player has to memorize the word. After 50 sec, the word disappears and reappears but in scrambled order with one letter in each box. The player gets only one minute of time to remember the scrambled order after which it disappears. And now, the player has to write the sequence of the block numbers for the original word i.e., the player has to unscramble and arrange the blocks properly to form the given word and then write the block numbers of the letters when they were scrambled.

Example:

Given Word: E D U C A T I O N
Scrambled Word:
T E O D N A U I C
1 2 3 4 5 6 7 8 9(Block number)
Final Answer:
2 4 7 9 6 1 8 3 5

Project Title : Website (ARTCLUB)
Project  Id : 16MINIA-13
Guide Details : Mr Y Vijaya Bhaskar Reddy Associate Professor
Team Members : B Sreehitha, B Sai Bhargavi, G Pravallika
Abstract Arts and Crafts is hobby of many people . Some people show interest in creating the Arts and some maintain a collection. Sometimes people may not be satisfy with crafts they find on websites and searching on different websites is time consuming also. They need a platform where they can showcase they Arts and Crafts and also can buy them. PROPOSED SOLUTION: . This is the website where people can register, upload and showcase their Arts and Crafts . This is a great platform for Art lovers where they can find a hug collection of arts and can buy them. We notify the users if there is any event or expo organized by any organizationCONCLUSION : Arts and Crafts describes a wide varieties of activities involving making things with one’s own hand.
 
Project Title : Android App (Data Analysis on Android app market)
Project  Id : 16MINIA-14
Guide Details : Dr S Nageswara Rao Professor
Team Members : R Satwik, G Laxmi Kumar, M Shiva Kumar
Abstract Mobile apps are everywhere and they are easy to create and can be lucrative.Now a days we can see many apps are being deployed in google play store.Here in this project we will do comphrehensive analysis on android app market by comparing over several apps in google play store across several categories . By this analysis, the app developer can be able to predict his application before deploying it in playstore.However, every app developer will expect his app to be more successful and it should be used by everyone and gain some profits too.This analysis will give a glance on the previous app market so that developer can choose which app is mostly used by people.
 
Project Title : InfoSecBot
Project  Id : 16MINIA-15
Guide Details : Mr Satya KumarAssociate Professor
Team Members : P Wihar, P Vineeth, T Rohit
Abstract People when applying for pan card, passport, driving license ,bus pass. ,etc face difficulty in finding which is the actual website and what are the pre-required documents to complete the process. The chatbot shall list the pre-required documents and then collect the appropriate information from the user which is required to complete the application process. The chatbot shall even complete the payment process if required and then provides the end-registration document at the end of the process to the user.
 
Project Title : Stroop!  (Digital Library Management System)
Project  Id : 16MINIA-16
Guide Details : Dr. M. A. Jabbar, Professor
Team Members : D Vinay, Jetty Rajiv Chandra, K Vighneshwar Reddy
Abstract The Stroop Color and Word Test (SCWT) is a neuropsychological test extensively used to assess the ability to inhibit cognitive interference that occurs when the processing of a specific stimulus feature impedes the simultaneous processing of a second stimulus attribute, well-known as the Stroop Effect. We wish to design an android application Stroop! which is not just intended to aim at having fun or pass time but also to measure the ability to inhibit the cognitive interference i.e., the Stroop Test. The users are required to name the color of the ink instead of the word read. Score is increased for every correct entry with in the time provided. (In the most common version of the SCWT, which was originally proposed by Stroop in the 1935, subjects are required to read three different tables as fast as possible. Two of them represent the “congruous condition” in which participants are required to read names of colors (henceforth referred to as color-words) printed in black ink (W) and name different color patches (C). Conversely, in the third table, named color-word (CW) condition, color-words are printed in an inconsistent color ink (for instance the word “red” is printed in green ink). Thus, in this incongruent condition, participants are required to name the color of the ink instead of reading the word. In other words, the participants are required to perform a less automated task (i.e., naming ink color) while inhibiting the interference arising from a more automated task (i.e., reading the word). This difficulty in inhibiting the more automated process is called the Stroop effect.)
 
Project Title : WRONG-WAY DETECTION
Project  Id : 16MINIA-17
Guide Details : Ms Uma Maheswari  Assistant Professor
Team Members : T Gnani Prasad, D Vamshi, S Rakshitha, N Shravani
Abstract In the recent, the data analytics has become an emerging area of research in computer vision. The data analytics plays an important role for many applications such as fraud and risk detection, delivery logistics, customer interaction. Data is being generated very rapidly due to increase in information in everyday life. Huge amount of data get accumulated from various organizations that is difficult to analyze and exploit for a news agency to get the genuine and latest information .The main goal of the algorithm is to provide a platform for news agencies to access the news as per their requirements category . This algorithm proposes a platform for news agencies to overcome the problems faced by news agent’s . It is difficult to analyze manually for the news agent’s to know whether the news is real by searching in social media for the latest and genuine news based on the likes ,dislikes and comments etc.
Project Title : PARKEZY
Project  Id : 16MINIB-1
Guide Details : Mrs Shoba Rani   Associate Professor
Team Members : V Soumya, K Divya Sree, P Sri Divya
Abstract To reduce the traffic congestion and parking problems of public especially in tourist and public places.
 
Project Title : Crime Pattern Detection
Project  Id : 16MINIB-2
Guide Details : Ms T Jagadeeswari   Associate Professor
Team Members : Bhavana, Nithn, Navya
Abstract The crime rate is increasing nowadays in many countries, there must be some protection against this crime. The project CRIME RATE PREDICTOR solves the problem. Crime data is analyzed which is stored in the database. The data mining algorithm will extract information and patterns from the database. This algorithm plays an important role in analyzing and predicting crimes. Clustering will be done based on places where the crime occurred, a gang who involved in crime and the timing crime took place. This will help to predict crime which will occur in the future. Admin will enter crime details into the system which is required for prediction. Admin can view criminal historical data. Crime incident prediction depends mainly on the historical crime record and various geospatial and demographic information.
 
Project Title : Future sales prediction
Project  Id : 16MINIB-3
Guide Details : Mr. Gouse Baig Mohammad, Assistant Professor
Team Members : A Pravalika, P Bilwakshi, E Hemanth Kumar
Abstract The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, company will try to understand the properties of products and stores which play a key role in increasing sales.
 
Project Title : Securing data in image
Project  Id : 16MINIB-4
Guide Details : Mr Suresh Kumar   Assistant Professor
Team Members : Katta Neeharika, Gannepaga Sridevi, Gummadi Priyanka, Dodla Shreya
Abstract Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the internet. For hiding secret information in images, there exists a large variety of steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications may require absolute invisibility of the secret information, while others require a large secret message to be hidden. This project report intends to give an overview of image steganography, its uses and techniques. It also attempts to identify the requirements of a good steganography algorithm and briefly reflects on which steganographic techniques are more suitable for which applications.
 
Project Title : Lung Cancer Prediction Using K-NN Algorithm
Project  Id : 16MINIB-5
Guide Details : Mr Muralidhar Mourya   Assistant Professor
Team Members : A.Kiranmai, J.NithyaSri Reddy, Y.Vaishnava deepa
Abstract Lung cancer is the leading cause of cancer death worldwide. It is estimated that 1.8 million deaths predicted in the year 2018.In men, lung cancer was common cancer with 15.5 % of total cases were diagnosed in 2018, with highest rates in eastern Asia, Eastern Europe, and central Europe. In women, lung cancer is the 3rd major cancer. Early diagnosis of cancer will help medical experts in the cancer research and due to the efforts of researchers; the mortality rate is declined over the years. ML has been used in cancer detection for nearly two decades. Cancer is a heterogeneous disease consists of many subtypes. Early diagnosis and prognosis of cancer will help in clinical management of patients. This project deals with developing a decision support system for early prediction of lung cancer using K-NN a data mining technique.
 
Project Title : Automated Trash Can
Project  Id : 16MINIB-6
Guide Details : Ms Uma Maheswari   Assistant Professor
Team Members : Nissy Joy Gummadi
Abstract In recent decades, Urbanization has increased tremendously. At the same phase, there is an increase in waste production. Waste management has been a crucial issue to be considered. In this project, the trash can is built on a microcontrollerbased platform Arduino Uno board which is interfaced with GSM modem and Ultrasonic sensor. An ultrasonic sensor is placed at the top of the trash can which will measure the stature of the trash can. The threshold stature is set as 10cm. Arduino will be programmed in such a way that when the trash can is being filled, the remaining height from the threshold height will be displayed. Once the garbage reaches the threshold level ultrasonic sensor will trigger the GSM modem which will continuously alert the required authority until the garbage in the trash can is squashed. Once it is squashed, people can reuse. At regular intervals, it will be squashed. Once these automated trash cans are implemented on a large scale, by replacing our traditional bins present today, waste can be managed efficiently as it avoids unnecessary lumping of wastes on the roadside. Foul smell from these rotten wastes that remain untreated for a long time, due to the negligence of authorities and carelessness of public may lead to long term problems. Breeding of insects and mosquitoes can create nuisance around promoting the unclean environment. This may even cause dreadful diseases.
 
Project Title : Analyzing Road Accidents 
Project  Id : 16MINIB-7
Guide Details : Mr S K Prashanth   Associate Professor
Team Members : G .Ajith Kumar, S. Naveen, R. Mohana krishna, R.Ajay Kumar
Abstract The main aim of this project is, then selected ten risk factors as primary independent variables: professional driver, driving under influence (alcohol or drug), fatigue, vehicle type, overload, brake problem, weather, road classification, terrain, and region. The method of negative binominal regression was implemented to investigate the association between these risk factors and extremely serious road accidents. Analysis shows that the distribution of road accidental deaths and injuries in India varies according to age, gender, month and time. Moreover, road accidents are relatively higher in extreme weather and during working hours. Language used for this project is Python and dataset from the government website
 
Project Title : Loan Friendly
Project  Id : 16MINIB-8
Guide Details : Dr Ashwani Kumar   Associate Professor
Team Members : V.Vamshi, K M Anudeep Yadav  , CH Radheesh Reddy, M. Shiva Prasad
Abstract Distribution of the loans is the core business part of almost every bank. The main portion the bank’s assets directly comes from the interest earned from the loans distributed by the banks. The prime objective in banking environment is to invest their assets in safe hands where it is. Today many banks/financial companies approves loan after a regress process of verification and validation but still there is no guarantee whether the chosen applicant is the deserving right applicant out of all applicants.
 
Project Title : ALGOVIS
Project  Id : 16MINIB-9
Guide Details : Mr K Kotaiah Swamy   Assistant Professor
Team Members : K Chiranjeevi Karthik, K Shiva Prasad, Naveen Chavan, Bharath Chandra
Abstract It is quite common to get stuck while learning algorithms if you are a novice student. Algovis is an experiment to visualize the algorithms imitating the conventional classroom teaching approach. Most of the Algorithm visualisation projects deliver an abstract visualization where the main criteria would be to analyze the performance of an algorithm. But we focus on delivering a learning experience to the student. Visualizations that we try to create will be in a dynamic way that enables any novice student to understand the algorithms effectively. And every algorithm is provided with a trace along with it so that the student can understand the current execution of code in visualisation. And also every Visualization is given options which help the user to change values randomly. And the visualizations are made available to be accessed from any device by developing this whole idea as a web app. We intend to make it simple and easy to use as we proceed furthe
 
Project Title : Analysing The Performance Of Various Classification Algorithms
Project  Id : 16MINIB-10
Guide Details : Mr S Venu Gopal   Associate Professor

 

Team Members : P Sudheer, V Sai Teja, S Shiva Teja
Abstract One of the challenging tasks in machine learning is classification. There are multiple algorithms to perform classification. We may consider either simple ‘Logistic regression’ or complex ‘Neural Networks’, choosing the right algorithm for the problem is of uttermost importance. Although various algorithms may produce a wide variety of solutions with varied accuracy, we can fine-tune any model to attain its maximum accuracy. Our goal of this project is to take a dataset (In this project we are going to use Titanic survival list dataset) and use various algorithms to create a model. And analyzing the accuracy of the algorithms by fine-tuning each algorithm model. And finally, we would create a table consisting of a list of algorithms and their accuracies. Which would help us understand what are the best algorithms to use if we want to solve a classification problem. And also this analysis of ours may help anyone in choosing an algorithm to solve a similar kind of problem that we had taken.
 
Project Title : Movie Bot and Analytics
Project  Id : 16MINIB-11
Guide Details : Mr V Vijaya Bhaskar Reddy   Assistant Professor
Team Members : P Tarun, T Shiva Kumar, R S Lokesh, V Nishar
Abstract Movie Bot and Analytics is as automated and interactive bot that gives instantaneous replies about the movie query requested by the end user. This saves a lot of time of the users in searching about the correct movie details and reviews from many websites. The bot channel (Slack, Facebook) receives request from the end user and transfers the request to bot code. The bot code requests the java web API the details about the required movie and the web API sends the response in the form of Json. This is converted and displayed to the end user.
 
Project Title : Maintaining supply demand gap of online rental cabs through data analysis
Project  Id : 16MINIB-12
Guide Details : Mr. Sai Krishna Mothku, Assistant Professor
Team Members : G Siddarth, V Suraj, Sai Rahul
Abstract online rental cabs faces the problems related to cancellation and unavailability of cabs which results in customers dissatisfaction and loss of company revenue. In our project we conclude the reasons for the cancellation and unavailability of cabs and provide the solutions ( recommended ways) to overcome it .
 
Project Title : Studio_book
Project  Id : 16MINIB-13
Guide Details : Mr. M. A. Ranjit Kumar
Team Members : Poojitha D Naidu, A Mayuka, prudhvi, R Shiva
Abstract This is a new technological website for Telugu film industry which deals with all the celebrities from the south (It is exclusively for movie artists). Our website acts as a personal manager for artists & people in the telugu film industry. It will be helpful to manage the dates of an artist, In addition to this, it also tells users if he/she is available or unavailable on a particular date. It will be helpful in fixing an appointment with officials in telugu film industry. This website will be helpful to plan their pre-production work just by a tap of a single click. Based on the story written on the storyboard, the website is designed in such a way that pops out with all the suitable characters and their remuneration. This way a user can easily plan his budget and can view the details of cast & crew required to make up a film. All this happens with a single tap. This website allows users to modify their profile data & add additional content or information.
 
Project Title : Faceiden
Project  Id : 16MINIB-14
Guide Details : Mr. Y. Vijaya Bhaskar
Team Members : Kushal, K.Madhav, K.Pooja
Abstract One of the most successful application of image analysis, face recognition has recently received significant attention. Facial recognition technology has emerged as an attractive solution for identification and verification of identity claims. The datasets are predefined by the developer. The recognition has two phases: • Face acquisition, • Facial data extraction and recognition Face acquisition is a processing stage to automatically find the face region for the input sequences. Once the face is located the data extraction is done in two ways geometric feature-based methods and appearance-based methods. Face recognition can be implemented in video analysis with the help of deep metric learning, OpenCV and python packages. The video analysis with the help face recognition helps to identify required faces. The deep metric learning implements the face in videos through 128-d vector which processes the faces in the video using multiple datasets i.e., the pictures of the faces and processed as a single dataset for the identification. The dataset is analysed from the neural network of the given system. Our model can be implemented on larger scale either for the facial recognition in mobile applications or using the video with deep metric analysis to identify particular person.
 
Project Title : Resume mining 
Project  Id : 16MINIB-15
Guide Details : Dr. S. Nageswara Rao, Professor
Team Members : N Alekhya, CH Sathwik, CN Rishi Raj, P Vivek
Abstract Data preprocessing is the first and foremost step of natural language processing This model can take out all the vital information such as name phone number and email etc from the resume and store it in another file which eases the work of opening each and every resume and reduces human task of processing daily
 
Project Title : TECHNOTIFY
Project  Id : 16MINIB-16
Guide Details : Dr. Rajanikanth Aluvalu, Professor
Team Members : C Manasa, R Sanjana, A Raksha
Abstract Living in a modern world and not using digitalization is not a better way , using modern technology and internet for reducing work and increasing efficiency is a way to digital country. However the events happening in the college remains unknown to other colleges. Our main objective is to develop a web application that helps the user to register and get information about the events taking place. These days every educational institution is organizing technical/non-technical events . Students acquire knowledge on latest trends by participating in those events. Our proposed
application will be organized by colleges. The main purpose of this application is to update the information about the events taking place. The application will be deployed on the cloud. It can be accessed anywhere and anytime. Using this application, students can register to the events, payment gateway is made available.
 
Project Title : The Classify Binder
Project  Id : 16MINIB-17
Guide Details : Dr. M. A. Jabbar, Professor
Team Members : L Vasavi, D Sri Teja, C Akhila
Abstract In this project, we propose a solution for organizing various file formats in a directory. As it is difficult to take time and segregate different file formats in a particular directory, this program or algorithm helps to make the task easy as it organizes each different file format into separate folder in a well manner and also makes easy to remove junk files in that directory.
 
Project Title : Concrete Strength Prediction
Project  Id : 16MINIB-18
Guide Details : Dr. Raman Dugyala, Professor
Team Members : M Pavan Naik, C Sankhya Reddy, V Hemanth kumar
Abstract The proportioning of Concrete mix design is a major problem to achieve the required strength. Generally, traditional concrete mix design proportions are based on trial and error mix formulation or based on previous experience which leads to huge problems like Cracking, Air bubbles, Scaling etc . It is an important and primary requirement to optimize the concrete compositions by selecting the exact amount of mix design parameters.
 
Project Title : MAVEN
Project  Id : 16MINIB-19
Guide Details : Mr V L N Murthy & Assistant Professor
Team Members : Md Burhanuddin Shaikh, Mohd Azhar, D Bharath Reddy
Abstract Maven is an AI Powered Chatbot and a Voice Application which will help restaurants allow their customers reserve table, handle customer queries on menus, pricing, opening and closing hours, special discounts and offers, peculiar inquiries etc. Gartner( A Global Research Firm) says that by 2020, a whopping 85 percent of enterprise-customer relationships will be managed without human interactions. Surveys show that 89 percent of consumers opt to engage with businesses through text and 64 percent of consumers that communicate with businesses via text leave with a positive impression. Given that customer retention and loyalty is at the core of any service-based business, it is paramount for restaurants to fulfill and exceed expectations when it comes to guest service. Be it ordering food, making a reservation or even getting recommendations, it is impossible for service staff to meet everyone’s standards consistently, which can result in a negative brand image for the restaurant. With chatbots, your customers no longer need to make a call to reserve a table, wait for staff to attend to them or wait in line for tables to free up. Restaurants don’t need to have an exclusive service executive for the customers either. Bots can be programmed to carry out a myriad of tasks ranging from answering FAQs, making a reservation, ordering food or processing payment. The bot can carry out these tasks in a manner similar to a service executive, difference being—it can execute round the clock with zero downtime. Bots can parallel serve as an intelligence-gathering tool which assists a restaurant in understanding their customers. With customer contact details, past orders, preferred method of payment etc., the chatbot in restaurant can not only personalize a customers experience but also reward/incentivize loyal customers in order to retain them. Chatbots are perfect for service-based businesses that are so hyper-focused on the in-person experiences. By answering questions automatically and routing guests to real humans only when necessary, chatbots can help restaurants simultaneously improve customer service and also free up time for their staff to spend improving their actual in-restaurant experience.
 
Project Title : Kavi
Project  Id : 16MINIC-1
Guide Details : Ms T Jagadeeswari, Associate Professor
Team Members : A Goutham Sai,M Sai Sankeerth, P Sri Pravan, K Sai
Abstract Kavi in Sanskrit translates to poet in English and we call our project Kavi because we are trying to build an autonomous system that can generate poems. There have been many attempts at autonomous text generation in the field of machine learning, some successful, some not so much but generating poems just adds another level of beauty autonomous text generation systems. Our idea is a novel combination of a 1st order Markov model and a linguistics rule engine, where a pseudo-random chain of words is generated taking into account its probability as described in the Markov model which will then be sent through the rule engine to validated the aesthetic beauty of the verse generated. The rule engine includes two components a syntactic rule engine which validates the syntactic validity of the verses generated and a phonemic engine which validates the phonemic aesthetics of each verse generated taking into account the phonemes in the previous verses. Though writing a poem is a work of creativity and a statistical model like a Markov model might not be ever able to replicate a human poet, the success of this project validates the use of 1st order Markov models in text generation and its increased effectiveness when combined with a suitable linguistic rule engine.
 
Project Title : Block Buster
Project  Id : 16MINIC-2
Guide Details : Mr. Pallati Narsimhulu, Associate Professor
Team Members : MD. Khalid Roshan, B Sriharsha, J Raju Guptha, M Shravan
Abstract A fully-featured video game developed using Unity Video Game Engine developed by Unity Technologies and Objected Oriented Programming using C#. The game’s objective is to break all the blocks on the screen while guiding a ball towards them using a paddle at the bottom without letting it fall off the play area. The game consists of many game objects such as screens, assets and counters. A game object’s behavioral parameters include its physical properties (body mass, transparency, movement physics etc.) and guard conditions that control the start, end, level transitions and lose and win scenarios. While the game engine provides tools to automatically configure the physical properties, The C# script attached to the objects enforces the guard conditions for them using specialized classes and methods in pre-defined unity packages in addition to maintaining game states and score counter.
 
Project Title : JustReviews
Project  Id : 16MINIC-3
Guide Details : Mr. Vemula Harish, Assistant Professor
Team Members : S Vishnu, B Suchith, V V Shanmukha
Abstract Web scraping or Web harvesting is extraction of data from website.This technique is used when some part of information from an existing website is to be extracted and presented somewhere in the same or any other format. In this project we are scraping a few review websites and display only the required information to the user in as simple way as possible. For this project we have taken into account two popular fields Movies and Books i.e the websites included in the scraping are popular movie and book review websites. A user by looking at the data provided by us can easily come to a quick decision considering various reviews.
 
Project Title : Hospital Appointment Management System
Project  Id : 16MINIC-4
Guide Details : Mr. Pallati Narsimhulu, Associate Professor
Team Members : V Niharika, K Leelavathi, K Sreeja
Abstract An Online based appointment System in hospitals which allows the patients to check the doctor’s schedule and to fix an appointment with them. This project involves the admin who has the permission to access both the doctor and patient details by using administrator username and password. The doctor can access the website by the doctor’s name and password. The doctor’s name will be unique or else a unique id is given to all the doctors and using that they can access the patient details. The patient can register into the website by giving their personal details. After that, the patient id for every patient is created and they can login to the site by giving their username and password. If a patient logins into the website, they can see a list of available doctors with their field and timings. They can choose the doctors depending upon their needs and the available timings are already given in the table. By clicking that, an alert box will show the message that you have appointed for this doctor in the available timings.
 
Project Title : Health And Fitness Mate
Project  Id : 16MINIC-5
Guide Details : Ms Uma Maheswari, Assistant Professor
Team Members : Badrinath, Md. Imran, Naresh
Abstract These days everyone is busy and doesn’t have a mere interest to take care of their health. They don’t even fetch time to consult a nutrition expert or a trainer . In order to address this issue our team has come up with a project ‘Health & Fitness Mate’ , Which helps people to take care of their health and fitness. This website provides various measures to calculate BMR ,BMI and Fat percentage. In additon to this it also provides information regarding food and nutrition at one place.
 
Project Title : Connex
Project  Id : 16MINIC-6
Guide Details : Ms B Mahalakshmi, Assistant Professor
Team Members : B Bhavya Sree Ramya, P Santhosha Reddy
Abstract Connex is an online web application which provides virtual SlamBook experience. The user can invite his/her friends to write the slam by selecting the preferred theme and style. The invitee can accept, reject or make the invitation pending. In addition to written notes, one can record their audio notes too. The user can even set birthday alarm for any specific friend based on the details written by them in the Connex page. User has the privilege to enter the number of slam pages depending on their use. User can retrieve the information anytime. The user can experience virtual book which can reduce efforts, time and space.

Team Members :

 
Project Title : Dynamic web application for monitoring NSS activities
Project  Id : 16MINIC-7
Guide Details : Mr S Venu Gopal
Team Members : D Keerthana,G Apeerva, K Sucharitha Reddy
Abstract As there is a huge gap between students and NSS coordinators in the college, sometimes the information is not reaching to the students. In some cases the event participated students are facing problems regarding permissions and attendance. It is important for every student to involve in social activities but, the non NSS volunteers are not receiving any information about the NSS, So this a platform where all these problems can be resolved.
 
Project Title : Pick Explorer
Project  Id : 16MINIC-8
Guide Details : Mr K Kotaiah Swamy, Assistant Professor
Team Members : M Nikhitha, T Mounika, V Phalguni
Abstract In this report, we present the detailed development and implementation of the game “Pick Explorer” that we are developing . This game consists of Graphical user interface, and it’s is a mobile application developed using HTML, CSS, JavaScript. Where the players needs to pick the image with provided name. It has a time limit. If the player does good in first level, the player will be directed to next level. The player will have only three attempts, after finishing three attempts, If the Player pick incorrect image, the game will be finished.
 
Project Title : Online Jobs Application
Project  Id : 16MINIC-9
Guide Details : Ms Shoba Rani, Associate Professor
Team Members : B  Abhishek, Swapnil, A Abhishek, V Sri Charan
Abstract In this the recruitment is done through online. So it will be very easy to post the jobs and hire the candidates. It can be used by both the users and companies also. *User: First he will login. In the home page he will get what are the jobs available. If he drag the navigation bar, there will be options available (Home, Applications, Settings, Profile). In that applications are the page which displays the updates of the jobs applied by the user. Profile consists the resume and the users information. Settings consists of the applications settings, add-ons and etc. (NOTE: There will be register button at the login page. By that user can be registered. It is only for the user registration.) *Companies: Companies also login with the id given to them. They will get the page which consists of the jobs which are created by them. If he drag the navigation bar, he will get the creation option in which jobs can be created. He can also check company profile. Settings also provided for them.
 
Project Title : Vehicle number plate recognition
Project  Id : 16MINIC-10
Guide Details : Mr V Vijaya Bhaskar Reddy,  Assistant Professor
Team Members : Chandana, V Namitha, Swetha
Abstract Number plate recognition is a form of automatic vehicle identification. A number plate is the unique identification of vehicle. Real time number plate recognition plays an important role in maintaining law enforcement and maintaining traffic rules. It has wide applications areas such as toll plaza, parking area, highly security areas, boarder’s areas etc. Number plate recognition is designed to identify the number plate and then recognize the vehicle number plate from a moving vehicle automatically. Automatic number plate recognition has two major parts: Vehicle number plate extraction, Optical Character Recognition (OCR). The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Number plate extraction is that stage where vehicle number plate is detected and extract the number plate text. The segmented characters are normalized and passed to an OCR algorithm. At last the optical character information will be converted into encoded text. The characters are recognized using Template matching. The final output must be in the form of string of characters.
 
Project Title : Object Recognition
Project  Id : 16MINIC-11
Guide Details : Mr. Sai Krishna Mothuku, Assistant Professor
Team Members : K Meghana, Sanketh, K Minika
Abstract Introduction: We know humans can easily detect and recognize images but computer cannot do it easily . So , object Detection and recognition is an important task in image processing and computer vision .It is concerned with determining the identity of an object being observed in an image. Description: As this includes object detection and recognition ,which mainly aims to detect multiple objects from various types of real time objects and then recognizes after detection as particular class ,for example :if we keep pen in front of camera then it detects and recognize as pen .We train machines by giving different inputs using different machine learning algorithms .So those are used to detect and then classify those objects into different classes after recognizing them .Hence ,it deals with detecting instances of semantic objects of a certain class in digital images or videos .This can also include some of applications like face detection . Technologies: PYTHON with open CV. Conclusion: This mainly aims to detect the multiple objects from various types of images and then recognize them .This system will provide easy user interface to retrieve desired images and to classify them.
 
Project Title : Online food delivery services
Project  Id : 16MINIC-12
Guide Details : Mr. Y. Vijaya Bhaskar Reddy,Associate Professor
Team Members : G Sai Bhavana, L Suchithra Reddy, J Shirisha
Abstract todays world the importance for organic food growing day by day. People are hoping for healthy lives. The whole aim of our project is to provide the healthiest food, free

 

from chemicals and great for your body. This may improve the communication between rural and urban people. Organic food delivery services exactly aim to deliver you fresh, organic food. They do this by sourcing the produce from local farms, then boxing it up , delivering it directly to you. There’s no in-between man and there’s definitely nothing artificial. Another great benefit of organic food delivery services is that its convenient and means you support your local farmers without going out of your way to do .If there is availability, they also provide information about fruits and raw vegetables…
 
Project Title : EASY2BUILD
Project  Id : 16MINIC-13
Guide Details : Dr. S. Nageswara Rao,Professor
Team Members : G Akil Sagar, B Karunakar, Sai Teja
Abstract These days everyone wants to estimate the cost of constructing a house . So they do not have the idea of exact prices of the requirements. They depend on other people like builders . Builders may not give a perfect cost they take some extra money.But our team will design a website named as ‘easy-build’ will help the people to estimate the cost of the construction . Also gives the exact price and also provides the details about every product price .And also will get updated if increase or decrease in the prices. This may also further helpful for providing the legal documents for constructed houses. This project is also helpful for civil contractors that if someone requested for construction of house . This will be handovered to the constructors. Same way interior designers also get the benefit of it.And plumbers and electricians also get their work from this project.
 
Project Title : Sports Data Analysis and Visualization
Project  Id : 16MINIC-14
Guide Details : Dr. Rajanikanth Aluvalu,Professor
Team Members : Syed Sohail Ahmed, G Manoj, K Mrudula
Abstract Sports Data Analysis and Visualization:In today’s world, Data Analytics and Visualization are an integral part in making decisions on any kinds of domains. It also enables an organization or an individual to easily understand, assess and draw conclusions such that it can move forward and compete in real world. We try to relate different attributes of a player and compare his performance among his team members. This enables us to understand the state of the player, his capabilities and also allows us to find strengths and weaknesses. By this analysis we are also able to find outliers and try to improve their performances.
 
Project Title : LOCOMOTIVE
Project  Id : 16MINIC-15
Guide Details : Dr. M. A. Jabbar, Professor
Team Members : D Prabhu Shankar, P Aniketh, A Preetham, Kalyan
Abstract Locamatic is an android application which will automatically modify the wifi and audio settings of the phone based on the live tracking of location. The users need to add their current location to set of wifi zones and audio zones and can leave the rest to the app. The app will automatically track the user’s location and whenever the user enters his/her predefined silent zones, it turns the audio profile of the mobile to silent mode and whenever he/she exit that zone, it again turns the audio profile of
the mobile to normal mode. Whenever the user enters his/her pre-defined wifi zones, the app turns on the wifi and waits until it gets connected to a network. Once it gets connected to a network it will send a notification stating the entry into wifi zone and suggests the user turn off unnecessary mobile data. Once the user exits the zone, the app will turn off the wifi and notifies the user to turn on the mobile-data if required, thus performing battery optimization. The app also maintains a list of existing wifi and silent zones of every individual user. Zones can be either activated or deactivated by the user. Deactivated zones are like dead zones where the app doesn’t work. Once they are activated, the app works again at those zones. The app also allows the user to delete their saved wifi and silent zones from their saved zones
 
Project Title : MyShop
Project  Id : 16MINIC-16
Guide Details : Dr. Raman Dugyala, Professor
Team Members : P Nishanth, V Yashwanth, L Dinesh, B Ajay
Technology Used :
Abstract An ecommerce website commonly have a merchandising homepage central promotions and online store layout under different categories based on different objects added to website like lifestyle, goods and gadgets.It is a website with basic features necessary for ecommerce with a good design.
 
Project Title : People count through image processing
Project  Id : 16MINIC-17
Guide Details : Dr. D Vaishnavi, Associate Professor
Team Members : A Durga Prasad, A Sreevanth Reddy, T Adarsh Chowhan, Kiran Kumar
Abstract Using image processing coubt the number of people incoming and outgoing , by using detection algorithms and tracking algorithms.
 
Project Title : Arrow Escape Mobile Application
Project  Id : 16MINIC-18
Guide Details : Mr C Satya Kumar,  Associate Professor
Team Members : D Greeshma, M Jessica, D Jayanth
Abstract In this game a helium filled balloon is flying through the clear sky which is away from dark clouds. Dodge the arrows and earn points. This game contains two kinds of stars, on which will earn points and other will help the player to widen the clear sky and shorten the dark clouds.On dodging the arrows, the clear sky will reduce and sequentially dark clouds will increase.Collect all balloon sizes and win the highest score!
 
Project Title : Vehicle number plate recognition
Project  Id : 16MINIC-19
Guide Details : Dr Ashwani Kumar, Associate Professor
Team Members : D Jayanth, K Sharath Karthik, Rathna Kumar
Abstract Number plate recognition is a form of automatic vehicle identification. A number plate is the unique identification of vehicle. Real time number plate recognition plays an important role in maintaining law enforcement and maintaining traffic rules. It
has wide applications areas such as toll plaza, parking area, highly security areas, boarder’s areas etc. Number plate recognition is designed to identify the number plate and then recognize the vehicle number plate from a moving vehicle automatically. Automatic number plate recognition has two major parts: Vehicle number plate extraction, Optical Character Recognition (OCR). The developed system first detects the vehicle and then captures the vehicle image. Vehicle number plate region is extracted using the image segmentation in an image. Number plate extraction is that stage where vehicle number plate is detected and extract the number plate text. The segmented characters are normalized and passed to an OCR algorithm. At last the optical character information will be converted into encoded text. The characters are recognized using Template matching. The final output must be in the form of string of characters.
 
Project Title : Discussion Forum
Project  Id : 16MINID-1
Guide Details : Mr K Ramu  Associate Professor
Team Members : Goli Sreeja Reddy, MD. Karishma, Sri Teja
Abstract This project is all about a discussion forum. A platform where a user can get more clarity regarding his queries. Basically there is a user side and an admin side. User side: Any user who have registered can post the question. A registered user can also leave a reply to the other questions posted by other users. User also has an option to choose a subject in specific among the available subjects. Admin side: Admin leaves a reply to the questions posted by the users. Admin can also disconnect a user if the user is found to be suspicious. Admin also manages the user activities.Admin can also delete questions which are unrelated.
 
Project Title : CodeCorner
Project  Id : 16MINID-2
Guide Details : Ms Laxmi Sunaina  Assistant Professor
Team Members : Arun Sagar Nune, P Ram Mohan, B Lacman
Abstract Our project “CodeCorner” helps students to participate in popular coding competitions like Google Hash Code and ICPC. We also help students to learn some of the advanced concepts of computer programming like Data structures and Algorithms, Dynamic programming, Competitive Programming, and Advanced Data Structures. We also provide sample codes for Data Structures and Advanced Algorithms. In our project we provide everything online from materials to compilers which are already available online, we just bring all the various types of platforms to a single place where a student can develop his skills in programming. As most of the students are unaware of these concepts and lack behind. Our project helps students to learn these concepts on his own pace and provide all notes, resources and practicing platforms through links on our website. Our website helps them to register with various online coding challenges available on HackerEarth, HackerRank, Top Coder and SPOJ. We encourage them to solve some of the harder coding problems through this platform. We also provide some of the most popular books in the form of E-books to learn some basic concepts as well as advanced and help them to become a good programmer. Today we live in a competitive world where employers require best to work at their organizations. We help students to become the best and be the first to get hired into these organizations. In our project, we also have websites which help them to build their aptitude and verbal skills.

 

 
Project Title : Data Analysis On Titanic Dataset
Project  Id : 16MINID-3
Guide Details : Mr Bhanu Prasad  Associate Professor
Team Members : K Deelip Kumar Reddy, Bachu Shivasai, Bheemarapu Maneesha
Abstract Titanic disaster occurred early morning hours of 15 April 1912, killing about 1500 passengers and crew members. The fateful incidents still compel the researchers and analysts to understand what could have led to the survival of some passengers and demise of the others. With the use of machine learning methods and a dataset consisting of 891 rows in the train set and 418 rows in the test set, we analyze the probability of survival based on few attributes like gender, age, and social status, Some groups of people were more likely to survive than others, such as women, children, and the upper-class. Therefore, we can learn about the society priorities and privileges at the time. In this project, we use various machine learning algorithms namely Logistic Regression, and other algorithm to predict the survival of passengers. In particular, we attempt to compare these algorithms and find the algorithm which is more efficient than other algorithms.
 
Project Title : Automatic Library Book Renewal and Online Book Donation application
Project  Id : 16MINID-4
Guide Details : Mr G S Prasad Reddy, Assistant Professor
Team Members : Dileepkumarreddy, G Rishikesh, Niharika
Abstract The project is created keeping in view of the convenience to the students. The present library system is inefficient without physical presence of faculty. Normally, in our college library we submit our library cards and take books. After 15 days of taking the book we need to renew it and if we haven’t renew it on the 15th day we need to submit that book and need to pay for the delay in the submission. So there are many problems with this renewal process, 1. If many students have to renewal at the same time then students have to wait in the queue till their turn comes. 2. Students may forget about renewal date. 3. Unavailability of renewing staff during lunch hours, as most of the students go to library to renew books at lunch time they may face problem. Here, we are providing the solution by creating an app that takes login details i.e, roll no and respective password provided by our college and after login it contains the details of the books taken by the user and it contains a scan button to scan the barcode on the book and this button is active only on the 15thday and a notification will be sent on the day of renewal. This app helps to renewal a particular book only 3times and after completion of 3rd time he has to submit the book in the library and take new book. Book donation is also possible with this application. The details of the donor and details of books are stored in the database which he/she has donated. The other students can use the books which are donated by others.
Project Title : Recommender systems in E-Commerce
Project  Id : 16MINID-5
Guide Details : Ms Laxmi Sunaina  Assistant Professor
Team Members : Rishika, Yashashwi, Maneesha
Abstract Recommender Systems or Recommendation Systems is a subclass of information filtering systems that seeks to predict a “rating” or “preference” that a user would give to an item. Recommender Systems are used in variety of areas, mostly used in e-commerce sites to filter the products according to the user’s interest. Internet is speeding up and modifying the manner in which daily tasks such as online shopping, paying bills, etc are accomplished. To stay competitive, markets need to provide different products and services to different customers with different needs. Markets need to customize customers need while providing more options. Recommender Systems allow rapid and automated customization and personalization of ecommerce sites. They allow the sites to generate more sales by tailoring to needs of the visitors and turning them in to customers. Information based on user demographics, item attributes , and user preferences are gathered. From this dataset useful information is extracted which is referred as Knowledge Discovery in Dataset. Using an appropriate Recommendation System and Recommendation Techniques are used to generate recommendations for users.
 
Project Title : Image segregation system
Project  Id : 16MINID-6
Guide Details : Dr Shitharth, Assistant Professor
Team Members : Kopparthi Sai Venkat Reddy, Konjarla Mounisha, Srujan
Abstract We are going to build a software/tool that classifies the photos based on given input.(Specific person’s image). DETAILED EXPLANATION: Getting into detailed explanation by an example, Eg: Take a case of an album that has our friend’s group photo and my selfies. So I need to separate all the photos where I’m present. It takes much time in selecting each and every photo of mine before sharing. So to avoid that, you just need to take a set of selfie pic of a person’s face to which you want to share to, and give it to the software. Our tool will add filters to that set of photos, train it and gets to the conclusion of his face. Now a folder full of group photos is given as input. Our tool will segregate all the photos which is matching the filtered/trained face. References:- Programming language – Python Open cv using python Packages like face recognition, os, pickle, dlib etc. Face recognition algorithms and haarcascades Usage: If this software/tool is built as an Android app or this feature is added with camera application , it would become easier to share the photos of our friends and its much time saving.
 
Project Title : Networked Infobox
Project  Id : 16MINID-7
Guide Details : Mr A Ramesh  Assistant Professor
Team Members : N.Pranaya Reddy, Gudla Rahul, N Rishitha
Abstract Networked Infobox is an application which will automate a lot of activities in a school or college or office etc depending upon the usage that is expected by different organizations. They can display info of all teachers in various departments, display timetable for students, display results of students. They can display info related to any holidays or info related to any fees collection scenarios or any common regulations that are announced by management. In the same way, it can be used by colleges also. In this project, we will aim to provide a way to automate the way in which notice board messages can be updated, deleted or removed. Provide access to students/ professors or administrative etc officers to different features which will provide various information. All the updates like, add, delete, view are done by admin, so that user will get the updated current information through notice board online.
 
Project Title : Dream Destination
Project  Id : 16MINID-8
Guide Details : Mr V L N Murthy  Assistant Professor
Team Members : Jagpreeth Kaur, P.Divya, M Shiva Kumar
Abstract The main aim of this project is to make it convenient to the tourist to find the best travel package and further details required for their trip. This project will help tourist to select the best Travel Package among all the package deals on the web. The tourist will select a travel package for a particular place based on their own interests and recommendations provided by previous customers who had experience with the package. Initially, we will gather tourist details and their duration of trip, then we will provide the suggestions of the best places. Based on the data collected we will generate a list of personalized travel package recommendations. After the travel package is decided the specific guides and their details will also be provided if required. Finally, the reviews about their trip and experience will be extracted from the tourists.
 
Project Title : Arena Happening
Project  Id : 16MINID-9
Guide Details : Mr M. A. Ranjith Kumar , Assistant Professor
Team Members : Meghana, Koram Hari Prasad, B K Arjun
Abstract This project is mainly based on the management of auditorium of Vardhaman engineering college. It keeps track of auditorium status and advance bookings along with the associated event details. The Event manager can easily check the auditorium bookings and timings. He has the authority of the system and he is responsible for approving and disapproving the particular department request for auditorium booking. There is a department registration, where department needed to register itself and then it can start booking the auditorium for any particular events. If there is any clash of events between any two departments the event manager will warn them and avoid that clash. Here the clash can be between any two departments booking an event in auditorium for same date .The booking requests are directly sent to the event manager account , he can therefore make decisions for approving or disapproving requests. This system will provide details of departments and their status of booking. We can easily get information about any event by its particular date or by event name.
 
Project Title : V-Chat
Project  Id : 16MINID-10
Guide Details : Mr A Ramesh, Assistant Professor
Team Members : Sachin Reddy, Muniganti Srikanth, T Aravind
Abstract “V-Chat” – a simple, lightweight and on-the-go Desktop chat application built using Sockets in Python which works on LAN provides a secure and hassle-free communication between people within an organization even in the absence of Internet. The messages are volatile and the application does not demand a database backup which also adds up to the security of information. The application is quite simple to use as it comes with an intuitive GUI and is only a click away.
 
Project Title : Image Matching
Project  Id : 16MINID-11
Guide Details : Ms Uma Maheswari  Assistant Professor
Team Members : N Leela Prasad, Shiva Kumar Reddy, Bhanu Prakash
Abstract Image Mapping is a simple game where the player’s challenge is to match the n number of pairs of images. At the start of the game, the player is given 10 seconds of time to grasp the images i.e., when player moves cursor on the image, the image is displayed and the image swaps out when the cursor is moved out from that image position. Then the actual game is started. There will be three levels in this game. Images are shuffled for every new game. At Higher Levels for every mismatch images are shuffled.
 
Project Title : Coding Center
Project  Id : 16MINID-12
Guide Details : Mr K Ramu  Associate Professor
Team Members : Suryadevara Karpooravally, Vishnu Vardhan Korukuntunna, Bazequa Fatima
Abstract The main idea of this project is to design a compiler that compiles source code in C, C++, Java and generate compiler messages in case of errors. Execute the compilers source code and show the result of execution. To implement a compiler, we will use NodeJS a server-side language. NodeJS has a module called compile-run enables to run commands to compile and execute source code. This requires to set up the environment like install gcc, g++ and JDK to compile C, C++, Java programs. To design Front End, for the best feel of the coder, HTML, JS, and CSS will be used.
 
Project Title : Travel Package Recommendation System
Project  Id : 16MINID-13
Guide Details : Mr A Bhanu Prasad, Associate Professor
Team Members : S Krishna chaitanya, K Rahul Reddy, K Siddartha,
Abstract The recent past showed a greater interest in recommender techniques. Now-a days there are many travel packages existing from different websites to almost all the places over the world. A customer finds it very difficult to search for the best package as he/she has to browse multiple websites, contact many travel agents and etc. which is a tedious process and is time consuming. There should be a system where the user should find the best package on the Internet with a single click. To address this issue, we adopt Travel Package Recommendation System which offers the best package among all the other packages that are on the web. This project will help tourist to suggest the best Travel Package among all the package deals on the web. On multiple demands of tourist that is, a customer will select a travel package for a particular place based on the recommendations provided by the previous customers who had experience with the package. Therefore, according to the personalized recommendations, he/she will choose the best package that is on the web. Initially, we will evaluate the particular characteristics of the current traveling packages and we mine the data on the tourists rating and the intrinsic features i.e., locations, travel seasons etc. Based on the data collected after mining, we will generate a list for personalized travel package recommendations. Furthermore, we will extract the data based on the tourist’s relation with the area and season.
Project Title : PROJECT-HUB
Project  Id : 16MINID-14
Guide Details : Mr Ganesh Deshmukh , Assistant Professor
Team Members : Ambarla Sriram, Gurrala Rashik Reddy, Anvesh Reddy
Abstract These days we are aware that many of the creative projects done by the students come to halt due to lack of funding and awareness. Even we can’t sell our projects due to lack of resources. We came up with a solution for this problem by creating an online platform where the students can exhibit their projects and acquire funding. Even new students will also gain information from referring the previous projects for queries. Investors can fund the projects they are interested in and acquire all the legal rights by payment of a fixed amount. Students from different communities can come together on to a single platform to share their ideas and create innovative projects. Outcomes: 1. Our platform will act as an interface between students and industry people. 2. Students can make money out of there innovative ideas. 3.Investors can fund on creative ideas of students.
 
Project Title : Online Examination Portal
Project  Id : 16MINID-15
Guide Details : Mr Ganesh Deshmukh , Assistant Professor
Team Members : Manideep, Raja Ram, Tanniru Madhusudhan
Abstract There are many reasons for a system to be computerized . The foremost among them is the speed, efficiency and accuracy. A computer system can satisfy all the requirements of the user much efficiently than the manual system with its tedious paper work. Online Examination helps the students for appearing the exam by online. Its mission is to offer a quick and easy way to appear the exam and it also provide the result immediately after the exam. The user can enter to write the exam only with their valid username and password. The administrator creates question paper. The aim of our project is to develop a website that will help the students and our web application Saves time as it displays the results as the test gets over.It is automatically generated by the server. Administrator has a privilege to create,modify and delete the questions papers and its Particular questions.
 
Project Title : Rapid Trade Car Sales System
Project  Id : 16MINID-16
Guide Details : Dr Prabhakar Kandukuri, Associate Professor
Team Members : Y.Venkat Reddy, Vaishnavi.M, Nagasai Thimavanth
Abstract  Car sales and review system was introduced as a platform to sell ,review the cars and know the bookings that have already been done. In earlier days cars were sold in garages and showrooms. People had to go the showrooms personally to know the specifications, price and other details of the car. Booking and payment methods were also done manually which was a tedious and delaying process. They faced complexity to have a comparison among the cars they wished to buy. To overcome this problem, Car sales and reviewing system platform was developed on an online basis which was a revolutionary idea. In comparison to the existing systems, the proposed system will be efficient in providing a market for dealers to sell cars in a single platform and will also give the customer a simple but efficient platform to communicate, comment, express his views on the various cars offered by the dealer. It allows the users to know the specifications, price details, reviews given by the previous customers and enables him to book a car of his choice by knowing the
complete details of the car on a single platform . The customer can save alot of time and can have a user friendly accessibility as he can check cars of different brands on a single system. Now a days many online websites are just acting as a medium of selling the car, but this system enhances them to know the product comparisons, reviews given by the previous customers which would help them in the process of buying a car of their choice.
 
Project Title : Codependency
Project  Id : 16MINID-17
Guide Details : Ms B Mahalakshmi Assistant Professor
Team Members : Sruthi Chincheti, Yashwanth, Praveen
Abstract Codependency is a platform for programmers who compete in competitive programming. This platform allows users to share their code and be notified in their work. We believe that instantly scraping and sharing the problem statement and seeking an explanation for the solved problem from a known source is a huge advancement in problem solving ability.
 
Project Title : Restaurant Table Booking and Order
Project  Id : 16MINID-18
Guide Details : Dr Prabhakar Kandukuri Associate Professor
Team Members : Mankal Rohith Kumar, Monica, Karan
Abstract Restaurants are trending for business category on the internet and many restaurants now have a website. A well-designed website will attract new customers to your restaurant, online reservations are increasing rapidly with so many consumers seeking out restaurants via the web, and a well-designed website for a restaurant needs a few key elements that a customer looking to book would want to see. So, we present you this system where a web application for the admin and restaurant completes the package of restaurant & bookings. The user can browse through number of restaurants on the basis of cuisines and check for all their details and pictures uploaded by the restaurant, and the user can book it by selecting the tables as well and other functionalities. The user can cancel and check his booking history or even review his previous experiences with the restaurant. While the admin is responsible to check the booking history or user list and manage tables. The restaurant user can check all the booking and enter check and check out status or even block a user from booking it again.
 
Project Title : Chat Box for Counselor Management
Project  Id : 16MINID-20
Guide Details : Mr Vemula Harish Assistant Professor
Team Members : M Rithesh Reddy, Sunayana, Pranay
Abstract The project is for the interaction between the students and their respective counseling faculty. In our college, we rarely find the counselors interacting with their prescribed students due to a variety of reasons. In this we can interact about the academic problems, attendance and many other issues. In this website we have a login page for students, counselors as well as student’s parent. The students can access the page with their respective college ID (roll numbers) and passwords provided to them. In this student portal, the student can find a variety of options which also includes chat option, using which they may communicate with their counselors. Even the counselors are given a login ID and password and with a list of all prescribed students for counseling. The counselor will also be able to reply to the student in the chat box itself. And in parent login, the parent’s are also provided with a unique login ID and password with which they can view their child marks and can communicate with counselor directly regarding their child.

 

Project Title : STUDENT ASSISTANCE
Project  Id : 16MINID-21
Guide Details : Mr Shrawan Kumar Assistant Professor
Team Members : Satla Rahul, Santhosh, Praneeth Sasanapuri
Abstract The main idea of this project is used to maintain the College Event information and organize the event and to send details of the event to the student through mail. The main purpose of this project is to simplify the process of handling each event by providing a web interface for admin, teacher and students. The admin part consists of multiple modules where admin or the authorized person need to add the event and type of event (indoor or outdoor). This provides college management to schedule events online and assign student volunteers for an event. System allows admin to add teachers who will conduct the particular event activity which is allotted by the admin itself, also can view the student registration for a particular event and lastly, viewing the results of all events held in college. Teacher performs various task such as taking the attendance of the students who are registered for a particular event, viewing the list of students to mark the winner of each round, generating the results based on multiple rounds won by the student and also can view the 1st, 2nd and 3rd standings of student’s name for the particular event. Student interface consist of viewing and getting registered for the event of their choice, pay the event activity fees if applicable and can view all the registered events. The registered students will get a mail regarding events and they can easily register the event.

Project Title : VIRTUAL LABS
Project  Id : 16CC-A1
Guide Details : Dr RAJANIKANTH ALUVALU
Associate Professor
Team Members : DANDALA ANJAN KUMAR REDDY ,DANDALA ANJAN KUMAR REDDY,GANGIDI SAI KIRAN REDDY,KADAVERGU ANUDEEP
Domain : Cloud / IoT
Abstract In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institutions physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. In a college laboratory the main actions to be performed are looking up the schedule, executing the scheduled programs and then the evaluation process. In this project a virtual environment is created for each and every student thus he/she can login through their login credentials provided. In each and every city there is huge number of colleges and they are following the traditional method of laboratory process. Through this project we can make all the colleges digital. It is cost efficient where colleges can use it and integrate in their college platform. It increases the productivity as the various cloud computing algorithms are designed to perform certain operations. It reduce the paper work so all the colleges that can use this application to achieve the objectives of virtual labs.
 
Project Title : WE CONNECT (maman.ga)
Project  Id : 16CC-A2
Guide Details : Mr M A Ranjith Kumar
Assistant Professor
Team Members : G LAXMI PRASAD, KARRI SRI SATYA LOKESH, MUNUGOTI PAVAN KUMAR, PALADUGULA WIHAR
Domain : Cloud / IoT
Abstract These days when we are posting some media (photo/video) on social media But we don’t know whom it is reaching even though private profiles are there. So to overcome this we need a social network where only we(people we trust or whom the data is to be shared) are present which can be customized according to one’s need.
Thus, we can use the application as we intended to use it without any restrictions.
 
Project Title : SMART GATE : GATEWAY FOR SMART LIVING
Project  Id : 16CC-A3
Guide Details : Mr Gouse Baig Mohammad
Assistant Professor
Team Members : KOMMINENI SAISIDDHARDHA, GOPIREDDY VINEEL REDDY, PASPUNOORI VINEETH,THOTA VIGNESH
Domain : Cloud / IoT
Abstract : The main purpose of the project is to manage the problems which are facing in the Community living areas. Generally, in Society all the work is decided through meetings and maintenance bills, contact no of members are recorded on the papers. There is no qualified model for the simplified experience so far. We are proposing a community cloud deployable model for addressing all kinds of needs, services and maintenance. People in the community can raise the maintenance complainants like supply of the water, plumbing, welding works, internet connectivity, electricity, carpentry, Air Conditioner, Water cooler, Refrigerator etc. More extensive services like availing workforce when required, booking the community halls, maintenance bill payments, Event Notifications and information regarding selling and renting the houses in the community. Vivid billing with detailed information, tracking the visitor moments with digital register backups. Apart from the regular usage users can conduct events in the community like pool parties, lady’s night, modelling, new year eve and they can advertise their events on the website. With this model, we can connect the entire community in fingertips for the better and beneficial social living within the cities.
 
Project Title : SILAYIAI
Project  Id : 16CC-A4
Guide Details : Dr Raman Dugyala
Professor
Team Members : BHUKYA SAIBHARGAVI, DEVARASETTY PRANAY, KASOJU BHARATH, PANTHAGANI TEJASWINI
Domain : Cloud / IoT
Abstract People find it difficult to alter their clothes. Many fashion designers don’t alter their clothes. Tailor do this job. Tailors stay in our nearby lane but their location is not known to many people. So, this project provides online platform for tailors and customers to interact with each other. Cloud storage is being used to store the details of the tailors and customers.This application provides the nearby tailor’s details along with the rating given to tailor. Customer can even contact tailor through chat box provided in our application. Tailors can login using their authentication details and can display their designs. The interested customers can contact the tailor and can interact with them.
 
Project Title : CLOUD BASED HOSPITAL MANAGEMENT SYSTEM
Project  Id : 16CC-A5
Guide Details : Ms S Laxmi Sunaina
Assistant Professor
Team Members : MIRGUDE SACHIN, MUTHYAPU SHIVA KUMAR, RUTHVIK REDDY KAWKUNTLA
Domain : Cloud / IoT
Abstract Hospital needs an online system whereby it can accommodate the patients comfortably and avoid any confusion to the doctors regarding their work. There should be a system where the patients are categorized under insurance policy and non policy holders and the hospital management to claim the bills from concerned insurance company all these needs can be fulfilled by our project.Proper maintenance of patient and doctor database and schedule appointments. Properly maintain details like rooms availability and in patients and outpatient details. And also to generate bills automatically at the time of discharge. So our platform ensures smooth operation of the hospital management tasks as well as offering facility to patient.
 
Project Title : DISEP-DISEASE SEVERITY PREDICTOR
Project  Id : 16DS-A6
Guide Details : Dr. K. Prabhakar
Assistant Professor
Team Members : BOJJI SREEHITHA, AKARAPU SAMYUKTHA, MADDHURI PARTHASARADHI, VINTHA HEMANTH REDDY
Domain : Data Science / IoT
Abstract In today’s world we are on a express train to a cashless society. The most accepted payment mode is credit card for both online and offline, it provides a cashless shopping in all countries. It has became a more conventional way to do online shopping, paying bills etc. Hence the risk of fraud transactions has been increasing day-by-day. Implementation of efficient fraud detection system thus became important for all credit card issuing banks to minimize the losses. In real life, fraudulent transactions are intermixed with genuine transactions and simple pattern matching is not often sufficient to detect this problem accurately. There is a need of past history of transactions like credit card holders spending pattern from the previous transactional database, and other inputs like income, location, living expense etc can be compared with the current transaction details to detect credit card frauds, if there is deviation on transactions it indicates as fraud. To detect this fraud we are using various machine learning algorithms like k-nearest
neighbor, logistic regression etc classifiers to detect the fraud more accurately.
 
Project Title : INIQUITY INTERPRETER
Project  Id : 16DS-A7
Guide Details : Mr S Venu Gopal
Assistant Professor
Team Members : MINNAM REDDY NAIMISHA REDDY, KILARU SAI SUSHMITHA, MALLOJI RAJ DATTA MANOHAR, M PRAGNYA REDDY
Domain : Data Science / IoT
Abstract Crime is one of the biggest and dominating problems in society. As the crime rate is increasing day by day, our major concern is to reduce the Crime rate to a possible extent. Our project can solve this problem by analyzing and evaluating previous datasets and thus preparing a report on crimes within different aspects such as region, backgrounds, etc. This project analyzes datasets that consist of numerous crimes and help police officers to patrol regions easily and also speed up the process of solving crimes.
 
Project Title : DETECTING FRAUD SCAM WEBSITES
Project  Id : 16DS-A8
Guide Details : Dr H Venkateswara Reddy
Professor
Team Members : MOHAMMAD AYESHA TASMEEM, DEVATH INDUMATHI, LENKAPOTHULA SANDEEP GOUD, MADIPADIGE ABHISHEK
Domain : Data Science / IoT
Abstract There are number of users who purchase products online and make payment through various websites. Multiple websites ask the users to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. In order to detect and predict fraud website, we proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm. To extract the data sets, we are implementing classification algorithms and techniques. The website can be detected based on some important characteristics
like URL and Domain Identity. Once user makes transaction through online, when he makes payment through the website our system will use data mining algorithm to detect whether the website is phishing website or not. This application can be used by many E-commerce enterprises in order to make the whole transaction process secure.
 
Project Title : Optimize traffic flow using traffic signals
Project  Id : 16DS-A9
Guide Details : Dr H Venkateswara Reddy
Professor
Team Members : GONGALLA HARIKA, SOMA RAKSHITHA, KANKANALA CHETAN RAJA, MALAPATI RAVI TEJA REDDY
Domain : Data Science / IoT
Abstract The higher risk of passenger safety, loss of productivity, increase in fuel consumption, and pollution is all effects of urban traffic congestion. Efficient traffic management will reduce congestion, improve performance measurements for seamless traffic flow, and proficiently manage current roadway assets. Government organizations and administrative authorities are implementing coordinated traffic signals and variable messages to manage traffic network congestion. By implementing big data solutions, administrators can leverage historical trends, a combination of real-time information, and new-age algorithms to improve and traffic networks in urban areas. The growing focus on the development of intelligent network systems and the use of big data analytics will assist the traffic management and result in reduced congestions and roadblocks. The big data analytics by Quantizing helps service providers in the mobile services industry to analyze the efficiency of the current transportation system, estimate the transport models, and predict future network scenarios. These systems are designed to help reduce network congestion and act as alerts that notify traffic authorities of potential roadblocks.
 
Project Title : ENTERTAINMENT TRENDS
Project  Id : 16DS-A10
Guide Details : Mr K K Swamy
Assistant Professor
Team Members : AVULA PRUTHVI, THUMUKUNTLA GNANI PRASAD REDDY, BOYIKAR UDAYKIRAN, PRODDATURI SHANTHAN
Domain : Data Science / IoT
Abstract This project is about analyzing the user generated data to give a clear understanding of a selected city preferences to the media moguls. The media industry has tremendous scope for growth in all the segments due to rising incomes and evolving lifestyles. The world of business is spreading all over the planet and it is very important for a city to accommodate the changes of the public interests and bring in the content that is being streamed more. In the process of analyzing the public interests we intelligently analyze and visualize various user interests in terms of music, movies. This analyzed data will help the media moguls to be established and accommodate the user interests.
 
Project Title : EDU ANALYZER
Project  Id : 16DS-A11
Guide Details : Mr K K Swamy
Assistant Professor
Team Members : GADDAM NIHARIKA, CHINTALACHERUVU SRAVANTH KUMAR, DANEPALLI VINAY, MACHARLA LIKITHA
Domain : Data Science / IoT
Abstract There are considerable differences in the practices followed in public and private educational sector. Some of the considerable factors are equipment, labs, curriculum, student dropout rates, failure rates and success rates. Using this project, we can measure the impact of the factors on the outcomes of the educational sectors. This model is used to take necessary steps to improve and stabilize the educational aspects.
 
Project Title : FACE DETECTION BASED ATTENDANCE SYSTEM FOR UNIVERSITY
Project  Id : 16DS-A12
Guide Details : Ms S Shobarani
Assistant Professor
Team Members : DUDDU VAMSHI, GUDIPATI PRAVALLIKA, BANDARU SAKETH, KANCHARLA NITHESH
Domain : Data Science / IoT
Abstract Maintaining the attendance is essential in every Foundation for checking the performance of students as well as employee. Each organization has its own technique. Traditionally student’s attendance is taken physically on attendance register or sheet, given by the professor in class. These stamping techniques are repetitive and tedious. Physically recorded participation can be effortlessly controlled. Besides, it is exceptionally hard to confirm one by one student in a substantial classroom environment with disseminated branches whether the verified students are really reacting or not.
Project Title : PREDICTIVE ANALYSIS FOR DETERMINING SAFETY OF A CITY
Project  Id : 16DS-A13
Guide Details : S Shobarani
Assistant Professor
Team Members : TORPUNURI ROHIT SIMHA, ABHISHEK SRINIVAS SUNKARA, JETTY RAJIV CHANDRA, KATIPALLY VIGHNESHWAR REDDY
Domain : Data Science / IoT
Abstract CT: Why do people feel safer in some cities than others? Is it a function of actual crime or of other factors that shape the way we perceive cities. There could be various factors responsible for calling a smart city as a safe city. In our point of view, analyzing data on such factors and predicting the safety and security of the cities would be a delightful solution for both migrants and immigrants. Our main focus is to intelligently analyze and visualize some of the constraints like crime rate, pollution, no of accidents in the city and psychology of the people. Using some of the techniques of data science and data mining we can thoroughly serialize and merge such data and present it to the people who are in a dilemma for transmigration.
 
Project Title : AIR QUALITY PREDICTION
Project  Id : 16DS-A14
Guide Details : Dr Y Vijay Bhaskar Reddy
Assistant Professor
Team Members : PONNAGANTI SAI BABU, RUDRA SATWIK, BAKKI SANKEERTH, MOHAMMAD AFROZ
Domain : Data Science / IoT
Abstract Nowadays we can observe many parts of India are deadly affected with pollution. The harmful gases such as NO2 and SO2 content in the air have been increasing rapidly. This could be predicted with pollution sensors, although they can be expensive to deploy at scale. Our goal was to design a reliable and inexpensive air quality estimation solution, accessible to everyone through a web interface. In this project, we are going to analyze the dataset which consists of all the measured parameters and compared to the Air Quality Index (AQI). Based on the values in AQI the respective prediction is made on that particular city. Hence, people living in that city will understand the quality of the air they are breathing.
 
Project Title : BS-Helper
Project  Id : 16DS-A15
Guide Details : Dr Y Vijay Bhaskar Reddy
Assistant Professor
Team Members : NIDAMANURU SRAVANI CHOWDARY, GUMMADAVELLY SAIDEEP, PEDARAGALLA ASHOKA CHAKRAVARTHI
Domain : Data Science / IoT
Abstract The platform BS-Helper reduces the work of maintaining the system and generates the report that provide details and suggestions for optimal use of available bike resources.
 
Project Title : Generating Sales Document Report Using Hierarchical ALV
Project  Id : 16SAP-A16
Guide Details : Ms T. Madhuri
Assistant Professor
Team Members : P KALYAN BHUSHAN, SHREYA SRIVASTAVA, E AKHILESH
Domain : SAP
Abstract SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. The common desired features of any report are sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). SAP provides a set of ALV function modules, which can be put into use to embellish the output of report. This set of ALV functions is used to enhance the readability and functionality of any report output. Hierarchical ALV List is a way to display data in form of hierarchy. Hierarchical display is used for displaying data that are related, like sales order and item details. Here sales order details can be the header data whereas them items in the sales order can be the item data.
 
Project Title : GENERATING CUSTOMER, PURCHASE AND MATERIAL REPORT USING CLASSICAL REPORTS
Project  Id : 16SAP-A17
Guide Details : Dr K. Prabhakar
Assistant Professor
Team Members : THANUGULA PAVAN KUMAR, NUNE SRI HARSHINI PATEL, PATWARI ROHIT KUMAR
Domain : SAP
Abstract The validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.
Project Title : POLLUTION MONITORING SYSTEM
Project Id : 16CC-B1
Guide Details : Ms G. Madhavi
Assistant Professor
Team Members : LAGISHETTY VASAVI, KATTA NEEHARIKA, RAMAVATH SHIVA, ROYYA AJAY KUMAR, CHALLA AKHILA
Domain : Cloud / IoT
Abstract Pollution affects our day to day activities and quality of life. It poses a threat to the ecosystem and the quality of life on the planet. People need to know the extent to which their activities affect the quality of atmosphere. This project proposes pollution monitoring system. It is used to monitor the pollution at multiple locations. The system was developed using the Iot software. The pollution monitoring system was designed to monitor and analyze quality of atmosphere in real-time. We take the data from the database which is stored in the cloud. We will update the data over the internet. We can take the data from the cloud for further analysis. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.
Project Title : AUTO-SCALING WORKLOADS BASED ON RESOURCE USAGE
Project Id : 16CC-B2
Guide Details : Mr M A Ranjith Kumar
Assistant Professor
Team Members : POTHULAPATI TARUN REDDY, DEEKSHITULA SREETEJA, CHALLA MANASA REDDY, SHREYA DODLA
Domain : Cloud / IoT
Abstract Most Applications that are deployed on the cloud are over provisioned causing unnecessary resource wastage. This is made to handle sudden spikes of traffic which can happen for both planned and un-planned scenarios. In this project, we provide an application agnostic way of scaling workloads based on a configured metric using kubernetes, which is a Cloud Native, Container Orchestration platform and Prometheus. A Time Series Database. Using Kubernetes, we configure Horizontal Pod Auto-Scaler, to scale the application based on the different metrics I.e CPU, Memory, Queue Length, etc which are stored in Prometheus. With relevant configuration, Kubernetes automatically adds more instances/scales the application when the load or resource utilization is high, causing user requests to not fail and also improve latency. As Load on the application decreases, Kubernetes also notices that and removes instances of the application that are not necessary, thereby improving resource usage, and decreasing over-provisioning. The system shown in the project with a sample application agnostic (any type of workload) and metric agnostic (any metric based on the workload).
Project Title : GOVERNMENT SERVICE BOT
Project Id : 16CC-B3
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : GUMMADI PRIYANKA, TADAKAMALLA SHIVA KUMAR, RAMINI SANJANA, VEMPALLY NISHAR\
Domain : Cloud / IoT
Abstract This project helps the people all over India to find suitable website or web service or other service regarding the government schemes, government websites, government services across India. Many people are unaware of government services and schemes. Even if they know about the schemes and services, they are not knowing about the exact procedure to avail the schemes and services of government. Unfortunately, there are a lot of other sites in the internet which misleads the people. There are so many phishing sites and duplicate sites in the internet today. The goal of this project is to give proper guidance to people from being targeted to duplicated and fishy websites and also to make their process easy. Our project provides a common interface which helps people in all the ways to avail the government scheme. We provide a bot (A chat bot which interact with humans),which will be available in all chat application like messenger, whatsapp, slack etc. So,we can direct them to proper solution with the help of our site and bot.
Project Title : HealthVault – A Smart healthcare platform
Project Id : 16CC-B4
Guide Details : Mr Pallati Narsimhulu
Assistant Professor
Team Members : GANNEPAGA SRI DEVI, MOHD AZHAR, MD BURHANUDDIN SHAIKH, ALIMINETI RAKSHA REDDY
Domain : Cloud / IoT
Abstract The goal behind developing a smart city is to improve the lives of its citizens and smart healthcare plays a significant role in achieving this objective. As per a report from Transparency Market Research, the global smart healthcare product market is expected to reach $57.85 billion by 2023. Health Vault is an independent cloud application which stores a patient’s medical records, prescriptions, diagnostic reports and vital’s history. A Patient’s medical history is a very sensitive information which only a patient should have control over and Health Vault empowers a patient to control his health data, he/she can choose who can view it and to what extent. Today multi specialty hospitals have their own application suite to store their patients record but the control of this sensitive and private data lies in the hands of the hospital. The patient can only access it, he/she cannot share the same health data directly through the application, hence there isa need for an independent platform which gives control of such personal and sensitive data in the hands of the user. Privacy. That’s Health Vault.
Project Title : DROWSY DRIVER ALERT SYSTEM
Project Id : 16DS-B5
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : ANKATI PRAVALIKA, SHANKARPANDYAN BHAVANA, VEMULA SAI KRISHNA VAMSHI, CHADA RADHEESH REDDY
Domain : Data Science / IoT
Abstract The main idea behind this project is to develop a detection system which can detect fatigue of any human and can issue a timely warning. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough. According to the expert’s studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. This system will monitor the driver eyes using a camera and by developing an algorithm we can detect symptoms of driver fatigue early enough to avoid the person from sleeping. So, this project will be helpful in detecting driver fatigue in advance and will give warning output in form of alarm. It will detect drowsiness of the driver and warn him before fall into sleep. It helps to prevent accidents that are caused by drivers who fell asleep while driving.
Project Title : SARAMSH
Project Id : 16DS-B6
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : KURUGANTI CHIRANJEEVI KARTHIK, CHOPPARA NAGASATHVIK SURAM, GOGINENI SREERAM PRUDHVI, PAGIDI MUNTHALA VIVEK
Domain : Data Science / IoT
Abstract Our project aims at developing an API which takes a text and generates a summary out of it. The tools that are required for the project are built from scratch to provide flexibility and customizability. Text summarization is achieved by extractive text summarization using TF-IDF. Where summaries are generated by identifying the important sections of original text and extracting them. This API could be used anywhere which promote operational efficiency. By using this API one could summarize huge chunks of text or emails or even a text file.
Project Title : HAND WRITTEN DIGIT RECOGNITION
Project Id : 16DS-B7
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : AKARAM KIRAN MAI, ALISHALA NAVYA SRI, PILLI BILWAKSHI, KAYITHI SHIVAPRASAD REDDY, MURIMADUGULA SHIVA PRASAD
Domain : Data Science / IoT
Abstract Neural networks and deep learning are two success stories in modern artificial intelligence. They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars. Handwriting recognition is one of the compelling and fascinating works because every individual in this world has their own style of writing. Sometimes it is not possible to recognize the digits written by the people. In real-time applications like bank check processing, number plate recognition. The capability of the computer is to recognize and identify and understand handwritten digits automatically. The accuracy and correctness are very crucial in handwritten digit recognition. Even small error may lead to inappropriate results in real-time applications. Handwritten digit recognition helps to provide the accurate results.
Project Title : Accident Alert System
Project Id : 16DS-B8
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : NAMA ALEKHYA, V HEMANTH KUMAR, RAMANCHA MOHANAKRISHNA, KONTHAM BHARATH CHANDRA
Domain : Data Science / IoT
Abstract The main aim of the project is, to analyze the road accidents in India and predict the accident-prone areas. This analysis helps the users to know about the accident-prone areas and can take preventive measures to avoid accidents. The application is developed in such a way that it locates the current position of the vehicle while traveling and then calculates the accident percentage in that area. If the current location is very prone to the accident then it alerts the user about the location so, the user can be safe while driving at those areas.
Project Title : PROCESS PIPELINE TO SOLVE EMPLOYEE ATTRITION AND THEIR JOB PERFORMANCE AND PREDICTION WITH AI
Project Id : 16DS-B9
Guide Details : Mr. Mallu Praveen
Assistant Professor
Team Members : SALLA SHIVATEJA VAISHNAVA DEEPA YAMSANI, JAMMULA NITHYA SRI REDDY, CHAVAN NAVEEN
Domain : Data Science / IoT
Abstract Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data.
Now a day’s data science predictions are used in IT industries, for the improvement in market investment, employee management etc. Retention of valuable employees within an organization has become an important issue as it is hard to find out the reasons that why employees are leaving an organization and keep them satisfied is a big challenge, for this a report is made to predict the retention of an employee in an organization using the python programming with data science methods.
The main idea of this report is to find out that which valuable employee will leave the company and the features which are affecting him/her to making this decision like salary level, no. of hours spending in week, promotion, no. of work accident etc. The application was developed in python programming and are made with the help of data science and machine learning models.
Project Title : SALARY PACKAGE PREDICTOR
Project Id : 16DS-B10
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : POOJITHA D NAIDU, PADAKANTI SUDHEER KUMAR, V SAI TEJA, K M ANUDEEP YADAV
Domain : Data Science / IoT
Abstract : The main idea of the project is to develop a website which takes inputs(i. e dept, cgpa) as the testing data and predict the results, for training the data(i.e dept, cgpa, salary) we take previous years records and choose the best suitable algorithm(i.e the one which gives efficient accuracy) and train the model. The predicted results will be displayed on the screen with some suggestions in it. Finally the website will be hosted so that everyone can predict and prepare accordingly.
Project Title : GENERATING BON VOYAGE REPORTS USING STANDARD PACKAGE
Project Id : 16SAP-B11
Guide Details : Mr Para Upendar
Assistant Professor
Team Members : PENDYALA SRI DIVYA, VUPPALA SOUMYA, HEMANTH KUMAR E, GUMMADI NISSY JOY
Domain : SAP
Abstract Now-a-days, Due to increase in technology and demand of transport which also includes transport by air. Transport by air is mainly about flights, there are many airlines. Every airline has their own prices, timings, destinations, currencies, types, capacity, occupied seats etc. This report gives you complete details about different airlines and their features. This report gives detailed flight data in each and every aspect. The database is being maintained with the flight data and report is generated using standard packages for example SLIS and display in ALV form (ABAP List Viewer). SLIS is the type library for ALV grid and also contains many inbuilt modules. ALV gives us a standard List format and user interface to all our ABAP reports. ALV is created by a set of standard function modules provided by SAP. This also allows the user to sort the data in the report according to their priorities or requirements.
Project Title : Multiple reports using ALV
Project Id : 16SAP-B12
Guide Details : Mr V N L N Murthy
Assistant Professor
Team Members : VELUMULA SURAJ KUMAR, KOLLIPARA DIVYA SREE, SEELAM NITHIN REDDY, DODDA SRI SAI BHARATH REDDY
Domain : SAP
Abstract A SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. Execution of a SAP report almost never leads to an update of the database. The common desired features of any report are “column alignment”, sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). List Viewer is a generic tool that outputs data in a table form (rows and columns), with integrated functions to manipulate output (sort, totals, filter, column order, hide, etc.) and export it (Excel, Crystal report, CSV files, etc.) Simple report has features of sorting and filtering only but this is used to generate a single report if you have to display more than one report on the output. Technically speaking if you have multiple internal tables with data to be displayed as separate blocks then we go for block report of ALV.
Project Title : GENERATING EMPLOYEE’S LEAVE SANCTION CERTIFICATE USING SAP
Project Id : 16SAP-B13
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : C SANKHYA REDDY, ALLADA MAYUKA, SAKINALA NAVEEN, KODIGANTI POOJA REDDY
Domain : SAP
Abstract Usually the application of leave in education institutes and workplace is a long process. This refers to applying for leave through an email to the manager, waiting for them to respond and this process is inconvenient to both the manager and the applicant. To make this an easy process we suggest the generation of employee’s leave sanction certificate which lessens the burden. This includes generation of a pdf form that responds to the leave application. We propose that the generation of the Pdf form is done using SAP tools since it can be beneficial. The usage of the
pdf forms for sanctioning leave can save a lot of paperwork and makes it easier to apply for a leave
Project Title : GENERATE MATERIAL DOCUMENT REPORT USING INTERNAL TABLE EVENTS
Project Id : 16SAP-B14
Guide Details : Mr Shrawan Kumar
Assistant Professor
Team Members : KUNDURU MADHAV REDDY, MARNENI KUSHAL RAO, GUJJARLAMUDI AJITH KUMAR, R S LOKESH
Domain : SAP
Abstract Material documents in SAP are issued or generated from or received into inventory. The documents are created only by materials management in each firm and not by the end users. The material document review obtains the analysis and results from the firms data using the internal tables. The generation includes update and control field display and type of transaction. The logistics management can be formed using SAP easy access menu. We can generate material documents which involve issuing of goods and also the reference. The internal table events include AT START and AT END OF among other events that we implement. We use pre-defined and internal table events that we use to implement the generation of the material documents that use
Project Title : TO DO VERIFICATION AND VALIDATION ON SALES APPLICATION USING DYNPRO ABAP
Project Id : 16SAP-B15
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : GADDAM SIDDARTH REDDY, M PAVAN NAIK, CHANDA NAGENDRA RISHI RAJ, DUBYALA SAI RAHUL
Domain : SAp
Abstract He validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.
Project Title : POLLUTION MONITORING SYSTEM
Project  Id : 16CC-B1
Guide Details : Ms G. Madhavi
Assistant Professor
Team Members : LAGISHETTY VASAVI, KATTA NEEHARIKA, RAMAVATH SHIVA, ROYYA AJAY KUMAR, CHALLA AKHILA
Domain : Cloud / IoT
Abstract Pollution affects our day to day activities and quality of life. It poses a threat to the ecosystem and the quality of life on the planet. People need to know the extent to which their activities affect the quality of atmosphere. This project proposes pollution monitoring system. It is used to monitor the pollution at multiple locations. The system was developed using the Iot software. The pollution monitoring system was designed to monitor and analyze quality of atmosphere in real-time. We take the data from the database which is stored in the cloud. We will update the data over the internet. We can take the data from the cloud for further analysis. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.
 
Project Title : AUTO-SCALING WORKLOADS BASED ON RESOURCE USAGE
Project  Id : 16CC-B2
Guide Details : Mr M A Ranjith Kumar
Assistant Professor
Team Members : POTHULAPATI TARUN REDDY, DEEKSHITULA SREETEJA, CHALLA MANASA REDDY, SHREYA DODLA
Domain : Cloud / IoT
Abstract Most Applications that are deployed on the cloud are over provisioned causing unnecessary resource wastage. This is made to handle sudden spikes of traffic which can happen for both planned and un-planned scenarios. In this project, we provide an application agnostic way of scaling workloads based on a configured metric using kubernetes, which is a Cloud Native, Container Orchestration platform and Prometheus. A Time Series Database. Using Kubernetes, we configure Horizontal Pod Auto-Scaler, to scale the application based on the different metrics I.e CPU, Memory, Queue Length, etc which are stored in Prometheus. With relevant configuration, Kubernetes automatically adds more instances/scales the application when the load or resource utilization is high, causing user requests to not fail and also improve latency. As Load on the application decreases, Kubernetes also notices that and removes instances of the application that are not necessary, thereby improving resource usage, and decreasing over-provisioning. The system shown in the project with a sample application agnostic (any type of workload) and metric agnostic (any metric based on the workload).
 
Project Title : GOVERNMENT SERVICE BOT
Project  Id : 16CC-B3
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : GUMMADI PRIYANKA, TADAKAMALLA SHIVA KUMAR, RAMINI SANJANA, VEMPALLY NISHAR\
Domain : Cloud / IoT
Abstract This project helps the people all over India to find suitable website or web service or other service regarding the government schemes, government websites, government services across India. Many people are unaware of government services and schemes. Even if they know about the schemes and services, they are not knowing about the exact procedure to avail the schemes and services of government. Unfortunately, there are a lot of other sites in the internet which misleads the people. There are so many phishing sites and duplicate sites in the internet today. The goal of this project is to give proper guidance to people from being targeted to duplicated and fishy websites and also to make their process easy. Our project provides a common interface which helps people in all the ways to avail the government scheme. We provide a bot (A chat bot which interact with humans),which will be available in all chat application like messenger, whatsapp, slack etc. So,we can direct them to proper solution with the help of our site and bot.
 
Project Title : HealthVault – A Smart healthcare platform
Project  Id : 16CC-B4
Guide Details : Mr Pallati Narsimhulu
Assistant Professor
Team Members : GANNEPAGA SRI DEVI, MOHD AZHAR, MD BURHANUDDIN SHAIKH, ALIMINETI RAKSHA REDDY
Domain : Cloud / IoT
Abstract The goal behind developing a smart city is to improve the lives of its citizens and smart healthcare plays a significant role in achieving this objective. As per a report from Transparency Market Research, the global smart healthcare product market is expected to reach $57.85 billion by 2023. Health Vault is an independent cloud application which stores a patient’s medical records, prescriptions, diagnostic reports and vital’s history. A Patient’s medical history is a very sensitive information which only a patient should have control over and Health Vault empowers a patient to control his health data, he/she can choose who can view it and to what extent. Today multi specialty hospitals have their own application suite to store their patients record but the control of this sensitive and private data lies in the hands of the hospital. The patient can only access it, he/she cannot share the same health data directly through the application, hence there isa need for an independent platform which gives control of such personal and sensitive data in the hands of the user. Privacy. That’s Health Vault.
 
Project Title : DROWSY DRIVER ALERT SYSTEM
Project  Id : 16DS-B5
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : ANKATI PRAVALIKA, SHANKARPANDYAN BHAVANA, VEMULA SAI KRISHNA VAMSHI, CHADA RADHEESH REDDY
Domain : Data Science / IoT
Abstract The main idea behind this project is to develop a detection system which can detect fatigue of any human and can issue a timely warning. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough. According to the expert’s studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. This system will monitor the driver eyes using a camera and by developing an algorithm we can detect symptoms of driver fatigue early enough to avoid the person from sleeping. So, this project will be helpful in detecting driver fatigue in advance and will give warning output in form of alarm. It will detect drowsiness of the driver and warn him before fall into sleep. It helps to prevent accidents that are caused by drivers who fell asleep while driving.
 
Project Title : SARAMSH
Project  Id : 16DS-B6
Guide Details : Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members : KURUGANTI CHIRANJEEVI KARTHIK, CHOPPARA NAGASATHVIK SURAM, GOGINENI SREERAM PRUDHVI, PAGIDI MUNTHALA VIVEK
Domain : Data Science / IoT
Abstract Our project aims at developing an API which takes a text and generates a summary out of it. The tools that are required for the project are built from scratch to provide flexibility and customizability. Text summarization is achieved by extractive text summarization using TF-IDF. Where summaries are generated by identifying the important sections of original text and extracting them. This API could be used anywhere which promote operational efficiency. By using this API one could summarize huge chunks of text or emails or even a text file.
 
Project Title : HAND WRITTEN DIGIT RECOGNITION
Project  Id : 16DS-B7
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : AKARAM KIRAN MAI, ALISHALA NAVYA SRI, PILLI BILWAKSHI, KAYITHI SHIVAPRASAD REDDY, MURIMADUGULA SHIVA PRASAD
Domain : Data Science / IoT
Abstract Neural networks and deep learning are two success stories in modern artificial intelligence. They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars. Handwriting recognition is one of the compelling and fascinating works because every individual in this world has their own style of writing. Sometimes it is not possible to recognize the digits written by the people. In real-time applications like bank check processing, number plate recognition. The capability of the computer is to recognize and identify and understand handwritten digits automatically. The accuracy and correctness are very crucial in handwritten digit recognition. Even small error may lead to inappropriate results in real-time applications. Handwritten digit recognition helps to provide the accurate results.
 
Project Title : Accident Alert System
Project  Id : 16DS-B8
Guide Details : Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members : NAMA ALEKHYA, V HEMANTH KUMAR, RAMANCHA MOHANAKRISHNA, KONTHAM BHARATH CHANDRA
Domain : Data Science / IoT
Abstract The main aim of the project is, to analyze the road accidents in India and predict the accident-prone areas. This analysis helps the users to know about the accident-prone areas and can take preventive measures to avoid accidents. The application is developed in such a way that it locates the current position of the vehicle while traveling and then calculates the accident percentage in that area. If the current location is very prone to the accident then it alerts the user about the location so, the user can be safe while driving at those areas.
 
Project Title : PROCESS PIPELINE TO SOLVE EMPLOYEE ATTRITION AND THEIR JOB PERFORMANCE AND PREDICTION WITH AI
Project  Id : 16DS-B9
Guide Details : Mr. Mallu Praveen
Assistant Professor
Team Members : SALLA SHIVATEJA VAISHNAVA DEEPA YAMSANI, JAMMULA NITHYA SRI REDDY, CHAVAN NAVEEN
Domain : Data Science / IoT
Abstract Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data.Now a day’s data science predictions are used in IT industries, for the improvement in market investment, employee management etc. Retention of valuable employees within an organization has become an important issue as it is hard to find out the reasons that why employees are leaving an organization and keep them satisfied is a big challenge, for this a report is made to predict the retention of an employee in an organization using the python programming with data science methods.

The main idea of this report is to find out that which valuable employee will leave the company and the features which are affecting him/her to making this decision like salary level, no. of hours spending in week, promotion, no. of work accident etc. The application was developed in python programming and are made with the help of data science and machine learning models.

 
Project Title : SALARY PACKAGE PREDICTOR
Project  Id : 16DS-B10
Guide Details : Ms V Uma Maheswari
Assistant Professor
Team Members : POOJITHA D NAIDU, PADAKANTI SUDHEER KUMAR, V SAI TEJA, K M ANUDEEP YADAV
Domain : Data Science / IoT
Abstract : The main idea of the project is to develop a website which takes inputs(i. e dept, cgpa) as the testing data and predict the results, for training the data(i.e dept, cgpa, salary) we take previous years records and choose the best suitable algorithm(i.e the one which gives efficient accuracy) and train the model. The predicted results will be displayed on the screen with some suggestions in it. Finally the website will be hosted so that everyone can predict and prepare accordingly.
 
Project Title : GENERATING BON VOYAGE REPORTS USING STANDARD PACKAGE
Project  Id : 16SAP-B11
Guide Details : Mr Para Upendar
Assistant Professor
Team Members : PENDYALA SRI DIVYA, VUPPALA SOUMYA, HEMANTH KUMAR E, GUMMADI NISSY JOY
Domain : SAP
Abstract Now-a-days, Due to increase in technology and demand of transport which also includes transport by air. Transport by air is mainly about flights, there are many airlines. Every airline has their own prices, timings, destinations, currencies, types, capacity, occupied seats etc. This report gives you complete details about different airlines and their features. This report gives detailed flight data in each and every aspect. The database is being maintained with the flight data and report is generated using standard packages for example SLIS and display in ALV form (ABAP List Viewer). SLIS is the type library for ALV grid and also contains many inbuilt modules. ALV gives us a standard List format and user interface to all our ABAP reports. ALV is created by a set of standard function modules provided by SAP. This also allows the user to sort the data in the report according to their priorities or requirements.
 
Project Title : Multiple reports using ALV
Project  Id : 16SAP-B12
Guide Details : Mr V N L N Murthy
Assistant Professor
Team Members : VELUMULA SURAJ KUMAR, KOLLIPARA DIVYA SREE, SEELAM NITHIN REDDY, DODDA SRI SAI BHARATH REDDY
Domain : SAP
Abstract A SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. Execution of a SAP report almost never leads to an update of the database. The common desired features of any report are “column alignment”, sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). List Viewer is a generic tool that outputs data in a table form (rows and columns), with integrated functions to manipulate output (sort, totals, filter, column order, hide, etc.) and export it (Excel, Crystal report, CSV files, etc.) Simple report has features of sorting and filtering only but this is used to generate a single report if you have to display more than one report on the output. Technically speaking if you have multiple internal tables with data to be displayed as separate blocks then we go for block report of ALV.
 
Project Title : GENERATING EMPLOYEE’S LEAVE SANCTION CERTIFICATE USING SAP
Project  Id : 16SAP-B13
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : C SANKHYA REDDY, ALLADA MAYUKA, SAKINALA NAVEEN, KODIGANTI POOJA REDDY
Domain : SAP
Abstract Usually the application of leave in education institutes and workplace is a long process. This refers to applying for leave through an email to the manager, waiting for them to respond and this process is inconvenient to both the manager and the applicant. To make this an easy process we suggest the generation of employee’s leave sanction certificate which lessens the burden. This includes generation of a pdf form that responds to the leave application. We propose that the generation of the Pdf form is done using SAP tools since it can be beneficial. The usage of the
pdf forms for sanctioning leave can save a lot of paperwork and makes it easier to apply for a leave
 
Project Title : GENERATE MATERIAL DOCUMENT REPORT USING INTERNAL TABLE EVENTS
Project  Id : 16SAP-B14
Guide Details : Mr Shrawan Kumar
Assistant Professor
Team Members : KUNDURU MADHAV REDDY, MARNENI KUSHAL RAO, GUJJARLAMUDI AJITH KUMAR, R S LOKESH
Domain : SAP
Abstract Material documents in SAP are issued or generated from or received into inventory. The documents are created only by materials management in each firm and not by the end users. The material document review obtains the analysis and results from the firms data using the internal tables. The generation includes update and control field display and type of transaction. The logistics management can be formed using SAP easy access menu. We can generate material documents which involve issuing of goods and also the reference. The internal table events include AT START and AT END OF among other events that we implement. We use pre-defined and internal table events that we use to implement the generation of the material documents that use
 
Project Title : TO DO VERIFICATION AND VALIDATION ON SALES APPLICATION USING DYNPRO ABAP
Project  Id : 16SAP-B15
Guide Details : Mr. Shrawan Kumar
Assistant Professor
Team Members : GADDAM SIDDARTH REDDY, M PAVAN NAIK, CHANDA NAGENDRA RISHI RAJ, DUBYALA SAI RAHUL
Domain : SAp
Abstract He validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.

 

 
Project Title : AUTOMATED STREET LIGHTING SYSTEM
Project  Id : 16CC-C1
Guide Details : Mr . S K Prashanth
Assistant Professor
Team Members : VANAMA NAMITHA, KOTIKA LEELAVATHI, PASHAM SANTHOSHA, MOLUGURI SRAVAN KUMAR
Domain : Cloud / IoT
Abstract The project aims to provide concerned person to switch on or off through the application. This will be integrated with cloud computing. In cloud server there will be a set of rules and regulations such as first light and last light and when to switch on/off those street light. As the traffic decreases slowly during late-night hours, the intensity gets reduced progressively till morning to save energy and thus, the street lights switch on at the dusk and then switch off at the dawn, automatically.
 
Project Title : VAYU: A REAL-TIME POLLUTION MONITORING DASHBOARD AND ALERTING SYSTEM:
Project  Id : 16CC-C2
Guide Details : Dr S. Shitharth
Assistant Professor
Team Members : KUKKADAPU SREEJA, PALLE ANIKETH REDDY, PATURI SRI PRAVAN, MOHAMMED KHALID ROSHAN
Domain : Cloud / IoT
Abstract A cloud-based system that monitors urban pollution statistics and generates alerts about the real-time pollution statistics and the AQI (Air Quality Index) based on the geolocation of the user at any given place or time. Air pollution has always been one of the major urban problems that Indian cities face today. A smart city is all about being data driven in tackling common urban problems; this includes collecting data, computing metrics over the collected data and gathering insights to make useful decisions. Hence, to compute metrics and gather insights, it uses Prometheus, open-source Time Series Database that allows us to periodically pull data from a source (provided by the Central Pollution Control Board, Govt. of India) and compute metrics. To gather useful insights over this data, it uses Grafana, an open-source analytics and monitoring solution that plugs into Prometheus and provides attractive and useful visual representations of this data. Both these cloud platforms are Cloud Native Computing Foundation graduated projects which speaks volumes about their utility and robustness. It also leverages Prometheus’ alerting manager that allows us to alert users if the pollution levels in their area exceed the warning range, thereby enabling common citizens and at-risk groups suffering from respiratory ailments to stay vigilant about their health.
 
Project Title : HATEFUL SPEECH ON TWITTER
Project  Id : 16DS-C3
Guide Details : Ms G. Madhavi
Assistant Professor
Team Members : VANKA NIHARIKA, BUDIDI BHAVYA SREE RAMYA, MARRI BADRINATH REDDY, THUGUDAM NARESH
Domain : Data Science / IoT
Abstract With the rapid growth of social networks and microblogging websites, communication between people from different cultural and psychological backgrounds became more direct, resulting in more and more “cyber” conflicts between these people. Consequently, hate speech is used more and more, to the point where it became a serious problem invading these open spaces. Hate speech refers to the use of aggressive, violent or offensive language, targeting a specific group of people sharing a common property, whether this property is their gender (i.e., sexism), their ethnic group or race (i.e., racism) or their believes and religion, etc. While most of the online social networks and microblogging websites forbid the use of hate speech, the size of these networks and websites makes it almost impossible to control all of their content.Therefore, arises the necessity to detect such speech automatically and filter any content that presents hateful language or language inciting to hatred.
 
Project Title : SEGREGATING SPAMMERS AND UNSOLICITED BLOGGERS FROM GENUINE EXPERTS ON TWITTER
Project  Id : 16DS-C4
Guide Details : Ms B. Mahalakshmi
Assistant Professor
Team Members : VORUGANTI VISHWANATHA, SHANMUKHA SHASTRY, BANDA SRIHARSHA, RATNA KUMAR, ANDHE GOUTHAM SAI KUMAR
Domain : Data Science / IoT
Abstract Online Social Networks (OSNs) have not only significantly reformed the social interaction pattern but have also emerged as an effective platform for recommendation of services and products. The upswing in use of the OSNs has also witnessed growth in unwanted activities on social media. On the one hand, the spammers on social media can be a high risk towards the security of legitimate users and on the other hand some of the legitimate users, such as bloggers can pollute the results of recommendation systems that work alongside the OSNs. The polluted results of recommendation systems can be precarious to the masses that track recommendations. Therefore, it is necessary to segregate such type of users from the genuine experts. We propose a framework that separates the spammers and unsolicited bloggers from the genuine experts of a specific domain. The proposed approach employs modified Hyperlink Induced Topic Search (HITS) to separate the unsolicited bloggers from the experts on Twitter on the basis of tweets. The approach considers domain specific keywords in the tweets and several tweet characteristics to identify the unsolicited bloggers. Experimental results demonstrate the effectiveness of the proposed methodology as compared to several state-of-the-art approaches and classifiers.
 
Project Title : PARKCROWD
Project  Id : 16DS-C5
Guide Details : Mr Adavelli Ramesh
Assistant Professor
Team Members : JANGILI SHIRISHA, BALURI SUCHITH REDDY, MYADAM SAISANKEERTH, DEVA JAYANTH
Domain : Data Science / IoT
Abstract With the increasing numbers of automobiles in cities, finding a parking space which is close to one’s driving destination is costly, time-consuming, and contributes to traffic congestion in urban areas . These problems are especially extreme in the case of on-demand parking in metropolitan centers and densely populated areas around the world. Therefore, there is a strong need to disseminate availability information of vacant parking spaces.The scarcity of parking spaces in cities leads to a high demand for timely information about their availability. In this paper, we propose a crowd sensed parking system, namely Park Crowd, to aggregate on-street and roadside parking space information reliably, and to disseminate this information to drivers in a timely manner.

Our system not only collects and disseminates basic information, such as parking hours and price, but also provides drivers with information on the real time and future availability of parking spaces based on aggregated crowd knowledge. Moreover, to incentive crowd workers’ participation as well as to encourage them to provide more reliable information, we build an incentivization scheme into Park-Crowd to reward workers based on the reliability of contributed knowledge. We design Park-Crowd, an MCS system for collecting and disseminating vacant parking space information based on crowd workers’ knowledge.

We build models to evaluate the reliability of the crowd workers’ knowledge and estimate future parking space Availability based on workers’ knowledge using location dependent POI questions. We also propose a scheme to reward workers based on the reliability of contributed knowledge.

 
Project Title : ONLINE CRIME REPORTING SYSTEM
Project  Id : 16DS-C6
Guide Details : Mr Adavelli Ramesh
Assistant Professor
Team Members : KUNCHALA SUCHARITHA REDDY, MAREPALLY NIKHITHA, TAPSI PAVAN KUMAR, KARRE SHARATH CHANDRA KARTHIK
Domain : Data Science / IoT
Abstract Crime is a part of illegal activities in human life. It is quite obvious that the rate of crimes is increasing day by day in all societies across the world, but we do believe that there is a lot which can be done by both the governments and the individuals to reduce the crimes in communities. The rise of population and complex society rises the range of anti-social conducts that must be restricted by the government through the military and different organizations particularly the Police Force. There are many current crime management systems which faces several difficulties, as there is no means to report crime instantly other than phone calls, messaging or face-to-face compliant filing. Hence, we have proposed an online crime reporting
system which allows the user to file complaints or missing reports and keep a track of it. There are 3 categories that a user can file; Complaint, Crime Report and Missing Report and can see all the status of what action has been taken by the admin. To file any of the above 3 complaints, the user should register into the system and provide his right credentials to file them. The crime reporting system project also allows other users who do not want to register but can check the crimes happening at his/her or any other area, has just to provide the pin code and in return the system displays the list of crimes if any filed. The offline that is the unregistered user can also take advantage of checking the missing person details, but he/she is refrained from getting complaints done by the users.
 
Project Title : SMART TRAFFIC MANAGEMENT SYSTEM
Project  Id : 16DS-C7
Guide Details : Mr Muralidhar Mourya
Assistant Professor
Team Members : VANGAVETI YASHWANTH, JOOLURI RAJU, D PRABHU SHANKAR, M JESSICA
Domain : Data Science / IoT
Abstract Learning-based traffic control algorithms have recently been explored as an alternative to existing traffic control logic. The reinforcement learning (RL) algorithm is being spotlighted in the field of adaptive traffic signal control. However, no report has described the implementation of an RL-based algorithm in an actual intersection. Most previous RL studies adopted conventional traffic parameters, such as delays and queue lengths to represent a traffic state, which cannot be exactly measured on-site in real time. Furthermore, the traffic parameters cannot fully account for the complexity of an actual traffic state. The present study suggests a novel artificial intelligence that uses only video images of an intersection to represent its traffic state rather than using handcrafted features. In simulation experiments using a real intersection, consecutive aerial video frames fully addressed the traffic state of an independent four-legged intersection, and an image-based RL model outperformed both the actual operation of fixed signals and a fully actuated operation. In existing system, manually we need to control traffic by which side is having heavy traffic. Then that side put for green signal for long time. However, for every time not controlling traffic by manually due to timing (i.e. midnight), to overcome we use artificial intelligence for automatically the traffic will be controlled. To overcome the above problem in this system we are using object detection technique for detect vehicles. We are giving the input image which is containing heavy traffic then performing the detection technique on that image. It first calculates the percentage of vehicles from that image then it can control the traffic depends on threshold value (percentage).
 
Project Title : SMART FARMING
Project  Id : 16DS-C8
Guide Details : Mr Muralidhar Mourya
Assistant Professor
Team Members : GADDAM APOORVA, KADIYALA SAI, AMBARLA ABHISHEK, DAMALA GREESHMA
Domain : Data Science / IoT
Abstract Agriculture is one of the major revenue producing sectors of India and a source of survival. Numerous seasonal, economic and biological patterns influence the crop production but unpredictable changes in these patterns lead to a great loss to farmers. These risks can be reduced when suitable approaches are employed on data related to soil type, temperature, atmospheric pressure, humidity and crop type. Whereas, crop and weather forecasting can be predicted by deriving useful insights from these agricultural data that aids farmers to decide on the crop they would like to plant for the forthcoming year leading to maximum profit. This paper presents a survey on the various algorithms used for weather, crop yield, and crop cost prediction.
 
Project Title : IDENTIFYING ALERT ZONES USING REGRESSION ALGORITHMS
Project  Id : 16DS-C9
Guide Details : Mr A Bhanu Prasad
Assistant Professor
Team Members : VODELA SAISWAPNIL GUPTA, V PHALGUNI, G AKIL SAGAR, MOHAMMAD IMRAN
Domain : Data Science / IoT
Abstract Daily we see many accidents occur on roads, as an average 400 accidents occur in india per day. The reasons might be driver negligence or road problems. So we took a initiative to reduce the road accidents. To perform the action we gather data from different online sites (historical data) and perform cleaning and do apply the algorithms to train the data and test it to check the efficiency. Here when the user enters the accident prone area we send him a alert message so he may drive carefully before he enters the zone.
 
Project Title : COST PREDICTION AND DISEASE ANALYSIS IN HEALTHCARE
Project  Id : 16DS-C10
Guide Details : Mr A Bhanu Prasad
Assistant Professor
Team Members : KADEM SAI TEJA, DUGGARAJU KEERTHANA, SRIVILLA VISHNU, SYED SOHAIL AHMED
Domain : Data Science / IoT
Abstract The healthcare market has become competitive and complex and is increasing everyday. Healthcare Analytics is the process of getting, cleaning, analyzing and visualizing data collected from different organizations by which patients can be provided with enhanced health outcomes. The main objectives are: 1. To scrape data from websites and store them in Pandas dataframes, 2.Use classification algorithms like Decision tree and min-max normalization to predict total expense along with the type of disease and medicine, 3.Store the visualized data in a database and give user access through authorization. The main aim of this project is to provide predicted costs to people beforehand as well as give them easy access to their visualized health output in the form of a webpage interaction. There are three roles involved namely Data Analyst who collects and analyzes data, Web Developer who creates an interface for users and Database Administrator who maintains and gives permissions to users to access their final outputs. The technologies used are Python Libraries (Pandas, Matplotlib, Seaborn,Scikit-learn),HTML5,CSS,PHP and Localhost Server.
 
Project Title : SMART CITY TRAVELLING
Project  Id : 16DS-C11
Guide Details : Dr Ramu Kuchipudi
Assistant Professor
Team Members : B ABHISHEK, BALAGONOLLA KARUNAKAR,BALNE AJAY, B KIRANKUMAR
Domain : Data Science / IoT
Abstract Smart City Travelling by the Name indicated smartly makes it way in analyzing the user’s likes and dislikes and the time period the user is willing to explore a place and gives him with Amazing results in the form of different paths to utilize the time. This System is basically used to help a traveler new to the city or anyone who wants to explore a city in the given time period, the system makes use of the “Foursquare” API to get all the locations and places with all their information to sort and place it before the user in different paths to make his choice. The Places are sorted and selected based on the top raking’s by the foursquare. During the user Registration the user is asked some questions helping them to filter out in searching the places, the places are displayed on the maps giving a clear idea of the location and giving the paths from one place to another from the start location to the end location. ”It will be asking the particular time to visit the single place so that automatically the end time may also predicted. Same for the remaining places also. So completely the plan start time decided by user. Based on the time allocated by the user for all the places, the complete time will be shown by system”. Since the Traveler may be new to the city not knowing any place, in the map view if the user clicks on the marker he can see the ratings and reviews which are recorded from the Foursquare itself. The System requires An Working Internet Connection all the time for the app to work. The frontend of the System makes use of Android Studio while SQL Server as the Backend.
 
Project Title : PARKING LOT SYSTEM USING IMAGE PROCESSING
Project  Id : 16IMG-C12
Guide Details : Mr Ganesh Deshmukh
Assistant Professor
Team Members : KILARU SAI CHANDANA, KANDAGATLA MEGHANA, KONDU MANIKAR RAO, ANUGULA SREEVANTH REDDY
Domain : Image Processing / IoT
Abstract Now a days, people are facing problem to find an available parking space in parking lot due to the tremendous increase of occupancy of cars. When a driver want to enter a parking lot, the driver takes long time just to find an available parking space. This is used to detect the existence of the car and also provide information about the available parking space and the location of that parking and gives this information before they enter that particular parking lot , for example if there are four parking lots near by then driver gets the information about in which lot they have to park. It is used to design a smart parking system that is sensor free and functions as an indicator of the vacant spaces to the oncoming users of the parking lot. An image processing algorithm is used to detect empty parking areas from images of the parking space. The algorithm processes the image, extracts occupancy information concerning spots, and their positions thereof and sends information to the driver. The system also reports if individual parking spots are occupied or not. Occupancy information is made available to drivers, so they can enter that particular space easily in less time. The smart parking lot management system reduces the stress and time wastage associated with car parking and makes management of such areas less costly.
 
Project Title : TRAFFIC LIGHT CONTROL USING IMAGE PROCESSING
Project  Id : 16IMG-C13
Guide Details : Mr B Suresh Kumar
Assistant Professor
Team Members : KOTHA RAVI MRUDULA, ANIKAPALLI DURGA PRASAD, T ADARSH CHOUHAN
Domain : Image Processing / IoT
Abstract As the urban traffic congestion increased there is a pressing need of new traffic technology because of our poor infrastructure and resources Which cannot control the traffic congestion, to overcome this problem based on the volume of population giving time stamp to respective phase is a solution to control traffic congestion this can be done by using image processing methods.
 
Project Title : ATTENDANCE REGISTER USING IMAGE PROCESSING
Project  Id : 16IMG-C14
Guide Details : Mr M Y Babu
Assistant Professor
Team Members : GADDAM SANKETH, GANDRA SAI MANOJ KUMAR REDDY, CHAKALI SWETHA
Domain : Image Processing / IoT
Abstract Image Processing Attendance Register is a system which detects human faces, recognizes it and provides attendance. There are many ways to record attendance such as manual entry, biometric, access card and login entries. The proposed method is to record attendance through image using face detection and recognition. This method will be implemented in four steps like face detection, labelling the detected faces, training classifier based on labelled dataset and face recognition. The database is divided into various datasets and furthur, processed by a classifier to recognize the faces of the people. The final step is to take the attendance using face recognition technique in which the input will be given in the form of face images, and faces of the given images will be detected and recognized. Other system such as biometric takes a lot of time to attendance because each entry should be done one after the other and in Iris scanner the memory required is very large and difficult to maintain. This system is a better way to record attendance than the later systems. This system can be further extended and can be used in any workplace to record the attendance of the employees.
 
Project Title : SMART FILE SHARING
Project  Id : 16CS-C15
Guide Details : Mr S Venu Gopal
Assistant Professor
Team Members : GOGULA SAI BHAVANA, LOKA SUCHITHRA REDDY, VALLEM SRICHARAN
Domain : Cyber Security / IoT
Abstract The project is a brief introduction and implementation for the RSA Algorithm which helps to establish a trusted ecosystem between an organization and it’s customers. RSA algorithm is an example of asymmetric cryptography where it uses two keys. Our email is an example of an asymmetric cryptosystem where we have a username as a public key and password as a private key. The private key can’t be derived from the public key. So RSA which can resist almost all known password attacks. The RSA algorithm security depends on the decomposition of large numbers. This algorithm uses the Diffie-Hellman key exchange algorithm method for securely exchanging cryptographic keys over a public communications channel. The advantage of RSA is to crack since it involves the factorization of prime numbers which are difficult to factorize. Moreover, the RSA algorithm uses the public key to encrypt data and the key is known to everyone, therefore, it is easy to share the public key.
 
Project Title : CLASSIFICATION OF INTRUSION DETECTION ATTACKS
Project  Id : 16CS-C16
Guide Details : PENDIMUKULLA NISHANTH GOUD
SRI SATYA PREETAM A
THORMAMIDI MOUNIKA
Team Members : PENDIMUKULLA NISHANTH GOUD, SRI SATYA PREETAM A, THORMAMIDI MOUNIKA
Domain : Cyber Security / IoT
Abstract A novel supervised machine learning system is developed to classify network traffic whether it is malicious or benign. To find the best model considering detection success rate, combination of supervised learning algorithm and feature selection method have been used. Through this study, it is found that Artificial Neural Network (ANN) based machine learning with wrapper feature selection outperform support vector machine (SVM) technique while classifying network traffic. To evaluate the performance, NSL-KDD dataset is used to classify network traffic using SVM and ANN supervised machine learning techniques. Comparative study shows that the proposed model is efficient than other existing models with respect to intrusion detection success rate.
 
Project Title : GENERATING CUSTOMER INVOICE WITH BARCODE WITH THE HELP OF SAP SMART FORMS
Project  Id : 16SAP-C17
Guide Details : Mr B Suresh Kumar
Assistant Professo
Team Members : GUNTUPALLI BHANU SAI, MELIMI SAI KALYAN CHAKRAVARTHY, LAVOORI DINESH
Domain : SAP
Abstract Generating customer invoice using bar code is the new revolution to track all the entities, though they existing large quantities and redundant items .The barcode uses some decoding algorithms like data matrix and also QR-code, unique identification smart forms format allows to faster interaction and optimise the results.

 

 
Project Title : LIVE STREAMING AND DATA STORAGE IN CLOUD
Project  Id : 16CC-D1
Guide Details : Mr G S Prasada Reddy
Assistant Professor
Team Members : SURYADEVARA KARPOORAVALLY, DUDAM MANISH KUMAR, B K ARJUN, KOUKUTLA RAHUL REDDY
Domain : Cloud / IoT
Abstract Main idea of the project is to create a live video streaming application. The application is expected to be able to transfer live video data. The live video streaming technology can be used with additional user interface technologies to design an application that can be used in different ways as sharing live events, hosting online interviews, demonstrating things online, conduct webinar sessions etc.
Out of many possible applications using live video streaming technology, this application targets sharing live events. This application is expected to share live events online to multiple devices at a time. To design the application, AWS cloud technologies can be used, which provides services like Cloud Front and S3 for streaming live videos and storing data in efficient ways.
 
Project Title : PRIVACY PRESERVING MECHANISM FOR CLOUD ENVIRONMENT
Project  Id : 16CC-D2
Guide Details : Mr C. Satya Kumar
Assistant Professor
Team Members : KORAM HARI PRASAD, BADKOLIYA LAXMAN PRAJAPATH, P NAGASAI HIMAVANTH
Domain : Cloud / IoT
Abstract The main idea of the project is to provide security for the cloud environment. The data which has been uploaded to the cloud will be encrypted with AES encryption. The key will be sent to the intended users to access the data. Secured sharing of data and files over the cloud can be guaranteed by this mechanism.
 
Project Title : AIR POLLUTION ANALYSIS AND PREDICTION USING MACHINE LEARNING
Project  Id : 16DS-D3
Guide Details : Dr Ashu A
Assistant Professor
Team Members : SARDARNI JAGPREETH KAUR RAMGADIYA, MADHU MANIDEEP, YEDLA RAJARAM, P DIVYA
Domain : Data Science / IoT
Abstract Industrialisation has the potential to help achieve a variety of social objectives such as employment, technoligical advancements, etc. At the same time, industrialization causes negative impacts on environment, causing climate change, loss of natural resources, air and water pollution. These threaten the global environment as well as economic and social welfare. To provide better environment for the future generations, researchers proposed many approaches to reduce the negative impacts caused by industrilization. One the approaches is the analysis of air pollution level within a smart city scenario. Real time monitoring of air pollution data enables the metropolitans to analyse current situation of city. The air quality is affected by multi – dimensional factors including location, time, and uncertain variables. Hence, the data to be monitored for the air quality can be categoriezed as big data (based on the volume, varity, velocity, and varacity). As the air pollution data are characterized as big data, we will use machine learning approaches such as time series data monitoring algorithms in this project. The aim of this project is to investigate big-data and machine learning based techniques for air quality forecasting. In this project, we will use the AirQuality.xlsx, a public dataset obtained from kaggle repository. The extracted information is visualized using Hill Winter algorithm. This projects reviews the published research results relating to air quality evaluation using time series, hill winter, mean square algorithms of machine learning.
 
Project Title : PREDICTION OF HEART STROKE CHANCES BASED ON DATA PROVIDED USING MACHINE LEARNING ALGORITHM.
Project  Id : 16DS-D4
Guide Details : Dr Ramu Kuchipudi
Assistant Professor
Team Members : K MANNOJ, NUNE ARUN SAGAR, TIPPIRISHETTY BHANU PRAKASH, BAZEQUA FATIMA
Domain : Data Science / IoT
Abstract The main goal of this project is to predict the chances of Heart strokes by using data which is already available. We divide this data set into 2 parts, The first part of data set consists of 67% of data and is used to train model. The second part of data which is 33% of data is used to test the model. We prepare the classifier model using machine learning algorithm like Decision Trees and predicting the chances of Heart stroke based on various factors like age, chest pain, blood pressure, cholesterol levels, blood sugar levels and maximum heart rate achieved. The fields of the data set mostly represent and have the values which highly contribute for the heart stroke possibilities. The data set has to be cleaned by using various data cleaning techniques and removing null or incorrect values from the dataset after the data set has been cleaned the data set is provided to machine learning algorithms which classify the data. Similarly we can also diagnose several diseases by collecting the data based on the primary causes of diseases and predicting the possibilities of this diseases in patients.By predicting the possibilities of heart stroke by using basic medical test data we can save the time as well as money on highly costly diagnosis.
 
Project Title : FAKE PROFILE IDENTIFICATION
Project  Id : 16DS-D5
Guide Details : Ms S Laxmi Sunaina
Assistant Professor
Team Members : NENNURU LEELA PRASAD REDDY, MANIKONDA MEGHANA, VUMMAREDDY PHANEENDER REDDY, GOLLAMUDI S V N YASASHWI
Domain : Data Science / IoT
Abstract In the present generation, the social life of everyone has become associated with the online social networks. These sites have made a drastic change in the way we pursue our social life. Making friends and keeping in contact with them and their updates has become easier. But with their rapid growth, many problems like fake profiles, online impersonation have also grown. There are no feasible solution exist to control these problems. In this project, we came up with a framework with which automatic detection of fake profiles is possible and is efficient. This framework uses classification techniques like Support Vector Machine, Decision trees and random forest to classify the profiles into fake or genuine classes. As, this is an automatic detection method, it can be applied easily by online social networks which has millions of profile whose profiles cannot be examined manually. SVMs are among the best (and many believe are indeed the best) “off-the-shelf” supervised learning algorithms. Random forest or random decision forest are an ensemble training method for classification, regression and other tasks that operates by constructing a multitude of decision tress training time and outputting the class that is the more of classes or mean prediction of the individual trees.
 
Project Title : ALZHEIMER’S DISEASE PREDICTION USING NAIVE BAYESIAN CLASSIFIER
Project  Id : 16DS-D6
Guide Details : Mr Pallati Narsimhulu
Assistant Professor
Team Members : MANKAL ROHITH KUMAR, GUNNA SAI SACHIN REDDY, CHAVA SANTHOSH, SASANAPURI PRANEETH
Domain : Data Science / IoT
Abstract In that project, we propose checking the patient for Alzheimer’s Disease using Naive Bayes classification. Alzheimer’s Disease is a progressive disease that demolishes brain’s memory and its regular functioning as well. There isn’t any single test till date to diagnose this disease and brain scans alone can’t determine whether the person is possessed by it. Currently, the physician believes that a person is affected by Alzheimer’s based on the reports of the family members about the behavioral tendencies and observations of the past medical history. AI combined with Machine Learning algorithms might now be able to change this situation. Big Data processing has become significant as the information comes from multiple, heterogeneous, autonomous sources with complex and evolving relationships, and keeps growing. We prepare the dataset from previous historical data based on the percentage of patients that get this disease considering some crucial features.
 
Project Title : PHISHING WEBSITE FEATURES IN URL AND PREDICTION USING ML(MACHINE LEARNING)
Project  Id : 16DS-D7
Guide Details : Mr S K Prashanth
Assistant Professor
Team Members : KONJARLA MOUNISHA, N PRANAYA REDDY, MEDURI MONICA, MUNIGANTI SRIKANTH
Domain : Data Science / IoT
Abstract OBJECTIVES1. Main objective is to identify the malicious urls sent by the attackers through e-mails or websites.
2. To implement two supervised learning algorithms, they are random-forest and support vector machine algorithms to achieve better performance.
3. Considering the site popularity and traffic ranks are considered as important features to extract the phishing features of the web sites.OUTCOMES1. Identification of phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
2Phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
2. To warn the customers before entering the websites. Phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
• Phishing URLs and domain names have very different lengths compared to other URLs and domain names in the Internet.
• Many of the phishing URLs contained the name of the brand they targeted
Phishing URLs and domains exhibit characteristics that are different from other URLs and domains.
• Phishing URLs and domain names have very different lengths compared to other URLs and domain names in the Internet.
• Many of the phishing URLs contained the name of the brand they targetedABSTRACT:
As a result of rapid increase in mobile usage, internet availability has increased. So web sites are providing their services online to their customers. At the same time, attackers are misusing these services by developing malicious websites. These malicious websites largely promote the growth of internet criminal activities. Therefore, there is a need of protecting customers or users from the attackers. So we propose a learning based approach to classify web sites into
3 classes. They are :
1. Benign: safe websites with normal services.
2. Spam: performs the flooding of user with ads and fake surveys, etc.
3. Malicious: created by attackers to gather sensitive information and to gain access to private computer systems.
Our mechanism analyses the URLs without accessing the website content. Thus, it eliminates the run-time latency and the possibility of exposing users to the browser based vulnerabilities. By employing learning algorithms, our scheme achieves better performance on generality and coverage compared with blacklisting service.
 
Project Title : Student Performance Analysis
Project  Id : 16DS-D8
Guide Details : Dr S. Shitharth
Assistant Professor
Team Members : RISHIKA REDDY KOTA, MANCHI REDDY RITHESH REDDY, TANNIRU MADHUSUDHAN, KETHAVATH PRAVEEN KUMAR
Domain : Data Science / IoT
Abstract Each and every student in a school/college has different level of performance. Analyzing a student performance based only on their grade level and suggesting improvement in the next year would be not very useful in this fast moving pace of talent. A student can be analyzed based on his identity, course in which he/she is majoring, behavioral demographics, parent responsible (mother/ father) and the data from surveys from student and their parents. The data from such demographics can be used to classify a student as an average or a bad or a good performer. Such classification helps faculty of institution to take steps to change a bad performer as an average or a good student. The dataset used for such analysis is collected from surveys and observations. The data visualization can be applied to get an idea of shape of the data and to identify possible outliers. Since most of the data is categorical rather than quantitative, classifiers (Support Vector Machines) are applied to classify students in to mainly three classes ‘L’,’M’,’B’. Based on outputs students can be altered to improve their results.

 

 
Project Title : APPLICATION FOR DETECTING CYBER THREATS AT PUBLIC CROWDED PLACES BY USING DATA ANALYTICS
Project  Id : 16DS-D9
Guide Details : Mr G S Prasada Reddy
Assistant Professor
Team Members : BACHU SHIVA SAI, PENTAMSETTY NIHARIKA, KOUKUNTLA VISHNUVARDHAN, K YASHWANTH
Domain : Data Science / IoT
Abstract In today’s world WIFI has become an important factor in the present generation. The growth of WIFI has increased. Due to this network security attacks are also increasing. We will collect the data from different resources about security attacks. With the help of this, we will prepare the dataset. After preparing the dataset we will classify the data based on different factors. We use different machine learning algorithms. By using this application we can find different security attacks and we will provide a description of attacks
 
Project Title : HUMAN ACTIVITY RECOGNITION USING MACHINE LEARNING
Project  Id : 16DS-D10
Guide Details : Ms Gandham Swetha
Assistant Professor
Team Members : KUMBAM ANVESH, MEKAPOTULA VAISHNAVI, NIMMANENI CHANAKYA, SANAM SUNAYANA
Domain : Data Science / IoT
Abstract Human Activity is a kind of data mining of human actions with respective to the emotions. Human Activity recognition is a device which predicts the future of a person using machine learning techniques. In which the device predict the kind of movement being carried out by the person. It is used in the health care systems, initial detection of diseases, rehabilitation centers. We can use the sensor technology such as accelerometers, gyroscopes from the modern devices a man use daily life to predict his emotions and future activities. Examples of activities detected are swimming , running , walking , standing etc.
Project Title : ESTIMATION OF GROUND WATER LEVEL THROUGH (USING) SOIL MOISTURE
Project  Id : 16DS-D11
Guide Details : Mr C. Satya Kumar
Assistant Professor
Team Members : MUDAVATH SHIVA KUMAR, CHOULAPALLY SHIVA KUMAR REDDY, NAINI RISHITHA REDDY, GURRALA RASHIK REDDY
Domain : Data Science / IoT
Abstract In recent times, it became difficult to predict the underground water levels because of transient underground conditions. Generally the underground soil is divided into two zones, saturated and unsaturated. In this model, prediction of underground soil moisture in saturated zone will be implemented. By the prediction of soil moisture, underground water levels can be determined. The model will be developed based on Artificial Neural Networks (ANNs) . ANNs have the capability of prediction when the availability of the data is less for prediction. The model will be trained with different hydrological parameters which includes daily, weekly, monthly and bi-monthly data. Factor analysis along with time series forecasting will be incorporated for increased accuracy and high consistency.
 
Project Title : TRAFFIC-ANALYSIS 
Project  Id : 16DS-D12
Guide Details : Dr M. A Jabbar
Professor
Team Members : KAMATHAM SANDEEP, AMBARLA SRIRAM, PATCHA RAM MOHAN, RAVELLA KARAN KUMAR
Domain : Data Science / IoT
Abstract In the present world traffic is the major problem for every individual. It’s hard to analyse the traffic as the vehicles are in moving state. It’s hard to track the desired vehicle from the large number of vehicles. As all the vehicles are not of the same shape and size, it will be hard to detect them. To bring up a solution for this problem we use the video footage recorded by the cameras placed at traffic signals. It doesnt require any additional cost as it uses the existing systems. We use Frame detection and edge detection algorithms to detect the vehicles. With the help of Kalman filter we can get the vehicles exact positions. Experimental results can be implemented using python code with Open-CV development kits, indicate that the proposed method can detect, track, and count moving vehicles accurately
 
Project Title : CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
Project  Id : 16DS-D13
Guide Details : Dr M. A Jabbar
Professor
Team Members : GUDLA RAHUL, MOHAMMAD KARISHMA, GOURISHETTY SRUJAN, GANGISHETTY RUSHIKESH
Domain : Data Science / IoT
Abstract In today’s world we are on a express train to a cashless society. The most accepted payment mode is credit card for both online and offline, it provides a cashless shopping in all countries. It has became a more conventional way to do online shopping, paying bills etc. Hence the risk of fraud transactions has been increasing day-by-day. Implementation of efficient fraud detection system thus became important for all credit card issuing banks to minimize the losses. In real life, fraudulent transactions are intermixed with genuine transactions and simple pattern matching is not often sufficient to detect this problem accurately. There is a need of past history of transactions like credit card holders spending pattern from the previous transactional database, and other inputs like income, location, living expense etc can be compared with the current transaction details to detect credit card frauds, if there is deviation on transactions it indicates as fraud. To detect this fraud we are using various machine learning algorithms like k-nearest neighbor, logistic regression etc classifiers to detect the fraud more accurately.
 
Project Title : SMART SEARCH WITH PRIVACY
Project  Id : 16DS-D14
Guide Details : Mr Ganesh Deshmukh
Assistant Professor
Team Members : SATLA RAHUL, SYAMANABOYENA KRISHNA CHAITANYA, KUMMARI RAJESH
Domain : Data Science / IoT
Abstract Using search engines in today’s environment may lead to stealing of informal from user, so in order to avoid such loss we create smart crawler which helps as a private search engine which helps the user to search in private environment without any stealing of information. On web we can see that web pages are not indexed, it was developed many crawlers to locate web interfaces, due to the large amount of resources in the network, the better result is a challenging problem. To solve this problem, we propose mainly crawler. Crawler performs the reverse search that matches the user’s query in the URLs. In the next step, the Site Prioritize is performed in which the content of the query in the form matches. Then, according to frequency matching, sort relevant pages and rank this page using keywords. Ranking pages are displayed on the results page. We will propose a customized search to improve performance by considering how long we keep the log file. Before viewing the query before entering the query in the search box that is the focus, enter the search box
 
Project Title : A SECURE DATA TRANSMISSION MECHANISM FOR VEHICULAR COGNITIVE CAPABILITY HARVESTING NETWORKS
Project  Id : 16CS-D15
Guide Details : Dr Sai Krishna Mothku
Assistant Professor
Team Members : THUMMA ARAVIND, YERASI VENKAT REDDY, KOLLAREDDY DILEEP KUMAR REDDY
Domain : Cyber Security / IoT
Abstract In smart city applications, communication is increasing day-by-day using wireless traffic networks. Ding et.al [1] have proposed an intelligent data transportation system which works with communicating the data between two vehicles. The existing system [1] has designed the data transportation platform for vehicular cognitive capability harvesting network (V-CCHN) using Radio Access Networks (RAN’s) The major limitation of the existing system is lack of providing security in the data transportation. Therefore, it is vulnerable for data theft and data modification. It leads to misguide the user and even allows the attackers to perform the criminal activities, such as delay in data delivery which leads to accidents, false data transmission. Hence, in this project, a secure data communication mechanism will be proposed for the data transportation system that prevents reply attack and man-in-the-middle attack.
 
Project Title : AUTOMATIC MOTORCYCLIST SAFETY HELMET DETECTION
Project  Id : 16IMG-D16
Guide Details : Mr V N L N Murthy
Assistant Professor
Team Members : CHINCHETI SRUTHI, GADE SRITEJA RAO, GOLI SREEJA REDDY, KOPPARTHI SAI VENKAT REDDY
Domain : Image Processing / IoT
Abstract The Project titled “Motor cyclist safety helmet detection” is developed with intention to improve and enhance the safety measurements for well-being of society. The major task that need to be handled is illumination and poor video quality of surveillance traffic camera problem and dynamic changing weather conditions. In this project we aimed at proposing a well-developed framework for achieving this task by taking into consideration of all the advantages of various techniques proposed in various papers on this topic. The helmet is considered to be the motorcyclist’s main protection. Most of the countries across the globe require the use of helmets by motorcyclists, but many people fail to obey the law for various reasons. We are presenting the development of an automatic system using image processing and deep convolutional neural networks (CNNs) for finding motorcyclists who are violating helmet laws. The system comprises of detection of motorcyclists with helmet and without helmet. This helps in taking necessary actions by the police officials. Charging fines to those people who got detected will alert the society and mainly individual’s safety. This system can be deployed at several cities of India.
 
Project Title : TRAFFIC CONGESTION CONTROL
Project  Id : 16IMG-D17
Guide Details : Dr Ashwani Kumar
Associate Professor
Team Members : BHEEMARAPU MANEESHA, KOTLA SIDDARTHA, SOLLU PRANAY KUMAR
Domain : Image Processing / IoT
Abstract The project aim is to design traffic management system. Now a day’s everyone are using a vehicle and we can see many traffic congestion in many areas .So to control this traffic jams we are designing a traffic management systems using vehicle counting. We can design this system by using image processing algorithms on video streams taken from cameras. There is a increased demand for the smart cities, so we need to use some techniques to analyze the traffic density. So traffic management system should identify the vehicle and count the vehicles passing from the cameras view field from one traffic light to another and analyze the next congestion going to be occur in advance to the nearest traffic police and clear the area.