This project explores how wearable and AI technologies can modernize fencing by providing real-time, data-driven coaching. The wearable system uses a small, affordable accelerometer to track movements and deliver personalized insights. Thanks to peer fencers for testing the prototype and also thanks to the fencing coach for suggestions for future improvements. 

This project focused on developing an app to help Lexington residents and field workers identify poisonous and invasive plants. The core technology behind the app is a custom computer vision model enhanced with local plant data. The project was presented at a town-wide meeting of the Lexington Recreation Committee, the body responsible for planning and managing public playgrounds and recreational centers throughout the town.

This project provides students with mock AMC test items to help them prepare for the AMC 8, 10, and 12 math competitions. To date, the site has received ~84k impressions.