Project Case Study

Fitt-Me – AI Fitness Trainer

An AI-powered fitness coaching application that uses computer vision and human pose estimation to monitor exercise form, track repetitions, and provide real-time workout assistance. Built using MediaPipe pose detection, the system analyzes body joint angles during exercises such as push-ups, pull-ups, squats, sit-ups, and walking to accurately count repetitions and evaluate movement patterns. The platform supports both prerecorded videos and live webcam input, enabling users to receive automated exercise tracking and performance feedback without requiring wearable devices.