ML Fitness Tracker
ML system using sensor data to detect exercises and count repetitions.
Tech Stack
PythonScikit-LearnSensor Data ProcessingFastAPIReactWebSockets
Project Overview
Built an ML-based fitness tracking system using sensor data (accelerometers, gyroscopes) to accurately detect movements and count repetitions during free-weight exercises. Developed a web dashboard for real-time performance analytics and feedback.
Key Features
Movement detection using accelerometer data
Repetition counting algorithm
Real-time analytics dashboard
Exercise form correction feedback
Historical progress tracking