| 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 , [email protected] |
| 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 in different rooms can receive messages about glucose level of the trip bottles which are present in other roomsTo send a message to the doctor /nurses’ cell phone using GSM for continuous monitoring. There are 2 ways of connecting GSM Module to Arduino.The communication between Arduino and GSM module is 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 |
| 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. |