AI FITNESS TRAINER USING REAL TIME POSE DETECTION

The proposed project is designed to help individuals monitor and improve their fitness through real- time exercise detection, personalized recommendations, and interactive progress tracking. Unlike conventional fitness apps that rely on manual logging, this system uses computer vision to analyze posture and movements via a webcam, providing instant feedback on workout form and correctness. This reduces injury risk and enhances workout efficiency. Users can set fitness goals, track daily activities, and log nutritional intake, while an AI-based recommendation engine suggests suitable workouts and diet plans based on individual profiles and progress.The system applies pose estimation techniques to recognize exercises and evaluate posture accuracy, delivering visual or audio corrections when necessary. It supports users at different fitness levels by offering basic guidance for beginners and advanced analytics for experienced users. A dashboard displays activity trends, calorie burn, and consistency. Gamification features such as streaks, challenges, and achievements improve user engagement and motivation, encouraging long-term healthy habits.