SmartCycle, HackTCNJ Project Winner
Developed a Deep Learning Model for Image Classification using the VGG16 architecture pre-trained on
ImageNet by using Python and TensorFlow.
Achieved a test accuracy of 78.96% on the garbage classification dataset, demonstrating the effectiveness of the
developed deep learning model in accurately classifying garbage images.
HighFive HackRU Project Winner
Collaborated with a team of 4 and developed a fully robust web application with a dynamic Javascript-based
front-end, with Postgre SQL that stores back-end application state, and an ORM layer to access data in the database.
Facilitated user registration and web routing by Spring Boot and Hibernate ORM. Implemented Java EE
components using Spring MVC, Spring IoC, and Spring Security.
Bulking
Designed a calorie tracker in Java and Spring Boot to monitor daily nutrient intake, including calories, protein, fat,
and carbohydrates as well as designed the user interface using Figma.
Integrated the world.openfoodfacts.org API to enable barcode scanning for automatic retrieval and storage of
nutrient information in MySQL.
SpotyTube(Under development)
Developing a program that transforms Spotify playlists into a YouTube playlist that users don’t have to pay to listen to music.
The user inputs the Spotify playlist URL, calls and requests the JSON from Spotify API, and POST the result to Youtube API and retrieves the result.
Used Node.Js for the backend.
So far I have only done this much but one-click to-download functionality is coming up.