A computer vision sustainability application designed to help people identify and properly sort waste. Built with Python, OpenCV, React, REST APIs, and Base44. The project earned 1st place in the Base44 Sustainability Challenge and 2nd place overall at ShellHacks 2025.
A sign language recognition glove that combines flex sensors, Arduino, embedded systems, and machine learning to translate ASL gestures into text. I led a 15-person team and worked with Python, C++, Arduino, and Random Forest classification.
An interactive educational platform designed for elementary students. I designed and implemented front-end experiences including lesson pages, dashboards, authentication, and an AI chatbot interface.