Tag-Me-In
Built a carpooling application that helps the University of Illinois students to find people going to similar places and tag along with
them. Developed the front end using React.js and the back end using Node.js and MySQL.
AQI Predictor using Random Forest
Built a Regression model which predicts the Air Quality Index (AQI) of any city using information about few pollutants.
The Disease Predictor
Built an android application for the detection of diseases with an image input using Convolutional Neural Networks. We created our dataset from scratch by web scraping.
Farmersbook
Built a Web Application for Farmers in which they can post their problems and get suggestions from fellow farmers. The Website was made to be available in the native language.
Emoji Generation from Human Expression
Built an Emoji Generation System where the user’s facial expression will be identified first and then the identified expression will be used to generate the appropriate emoji.
Universal Sign Language Translator
Built a simple and robust sign language translator that can be trained with any user data and predicts output using
KNN Algorithm. The data is initially read and pre-processed using OpenCV.
Face Detection and Recognition
Built a Convolutional Neural Network model for face detection, verification, and recognition that can be used in any field for security purposes.
Google assistant based light automation system
Built an automation system using NodeMCU and Google assistant linked using Adafruit server and IFTTT application.
Most Feasible Project Award
Won most feasible project award in a 24-hour Hackathon conducted by ACM, SVCE (Team Leader).
First Place
Won first Prize in Inter-Dept Coding Competition conducted by KNOW-I - Research club, SVCE.
Second Rank
Won second Rank in the CSE Department, Sri Venkateswara College of Engineering.
Third Place
Got the third place Yesist 12 2019 conducted by IEEE, SSN College of Engineering (Team Leader).