Repple
Repple is a competitive fitness app for iOS that makes working out fun and consistent. Users earn points for workouts, create streaks, compete against friends in weekly matchups, and climb leaderboards. Features include ELO matchmaking, automated point aggregation, and AI-generated workout plans that adapt to user performance.
google-tools-mcp
An open-source MCP server that unifies all of Google Workspace behind a single server and OAuth flow. 169 tools covering Drive, Docs, Sheets, Slides, Gmail, Calendar, and Forms. Features auto re-auth, PDF/Word reading from Drive, and read-before-edit guards. MIT licensed, no telemetry.


Veritas
Veritas is a clinical research platform that combines cryptographic proof-of-personhood (World ID) with ML-powered response quality scoring to give researchers clean, trustworthy data. Won Best Proof-of-Human Application at Catapult 2026.
Caladrius
Caladrius is a privacy-first AI triage assistant. It aims to cut through the inefficiencies of triage intake and inequities in prioritization, while maintaining a privacy-first HIPAA-compliant ethos. Awarded 2nd place in HackGT 12's track for social impact.
Verbatim
Verbatim is an intelligent platform that takes any video, summarizes it for quicker consumption, translates it into multiple languages, and then recreates the speaker’s lip movements to match the new audio—delivering a seamless, localized experience.
FORMulator
FORMulator allows users to perfect any type of body movement on their own, by leveraging computer vision technology to provide instant feedback. The app uses a combination of pose estimation and machine learning to analyze the user’s movements and provide real-time feedback on their form, helping them to improve their performance.
Photonic Implementation of QKD
Quantum Key Distribution (QKD) is a method of secure communication that uses quantum mechanics to exchange cryptographic keys. This project focuses on the photonic implementation of QKD with near-infrared lasers, utilizing the principles of quantum mechanics to ensure secure communication between two parties.

Enhancing Cluster Cohesion: Integrating Self-Organizing Maps with K-Means Clustering for Improving Unsupervised Learning Distinctions
This project explores how SOM, known for its capability to uncover topological structures, fared against traditional centroid-based approaches in capturing intricate data relationships.


