First placing project at MariHacks 2024. Web app that teaches sign language using computer vision. Uses Mediapipe for hand tracking, OpenCV for gesture processing, and MongoDB for user progress. Built with Next.js, it provides real-time feedback for an interactive learning experience.

JavaFX desktop application that lets the user make their own Neural Network to do regression on vector data. Implemented Backpropagation, Feedforward and Gradient Descent algorithms from scratch in Java.

Project developed at HackHarvard 2024. Proof-of-concept app enabling renewable energy providers to offer cloud computing and ML insights for optimizing energy use. Built with Next.js, Docker, TensorFlow, and ShadCN.

First placing project at JACHacks 2024. Mobile app that helps users track their repetition count during workouts. Uses React Native for the mobile & Tensorflow.js for the computer vision model.