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Trainer-first Android app that lets fitness trainers reach and monitor clients directly from their phone.

Built with Kotlin and Spring Boot. Clients log daily food intake, mood, and body weight — trainers review logs and message clients in real time.

LSTM-based tool that predicts next-day stock price movement from historical market data.

Built with Python, Keras, and Flask. Trains a long short-term memory network on OHLCV data and serves predictions through a lightweight web interface.

Full-stack fitness tracker for logging workouts, meals, and personal body metrics in one place.

Built with React, Tailwind CSS, Node.js, and MongoDB. Tracks daily macros, workout history, and weight trends with a real-time dashboard.

AI math tutor trained on Iowa State University’s mathematics curriculum to help students work through problems.

Built with Botpress and integrated into the Calcly web app. Guides students through calculus and linear algebra with step-by-step explanations.