A Raspberry Pi-based project that tracks your fitness progress by analyzing body movements in real-time, such as bicep curls and shoulder presses.
Integrated MediaPipe to detect body landmarks and track joint angles, enabling real-time pose estimation for precise motion analysis.
Tracked and counted bicep curls and shoulder presses by analyzing body joint angles detected by MediaPipe.
Enabled voice commands and real-time audio feedback for hands-free interaction, enhancing the exercise experience.
Used Sense HAT to capture temperature, humidity, and pressure data, enriching user feedback during workouts.
Accelerated pose estimation using Google Coral TPU, delivering fast and responsive feedback to users.
Led the full-stack development and collaborated with cross-functional team members to deliver the prototype on schedule.