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Personalized AI Workout Companion

G. MANOJ KUMAR, R. REVANTH KUMAR

Assistant Professor, MCA Final Semester,

Master of Computer Applications,

Sanketika Vidya Parishad Engineering College, Vishakhapatnam, Andhra Pradesh, India.

ABSTRACT:

Personalized ai workout companion is an intelligent offline fitness application designed to assist users in performing exercises correctly by providing real-time feedback and tracking their progress. Leveraging advanced computer vision techniques and pose estimation powered by MediaPipe, this system accurately detects and counts repetitions for various workouts such as squats, pushups, curis, jumping jacks, and crunches. Users can engage in personalized fitness sessions where the trainer monitors form and counts reps automatically, helping them stay motivated and avoid injuries caused by incorrect posture. The application supports session summaries, allowing users to review their performance, track improvements, and maintain motivation over time. This Al-driven fitness assistant operates without the need for an internet connection, making it accessible and private. It is ideal for individuals seeking guidance during home workouts, fitness enthusiasts aiming to optimize their routines, and trainers looking to offer tech-enhanced coaching. By integrating artificial intelligence with practical fitness applications, Personalized ai workout companion revolutionizes the way users approach exercise, combining convenience, accuracy, and personalized coaching into a seamless offline experience.

Index Terms : AI Fitness Trainer, Pose Estimation, Computer Vision, Media Pipe, OpenCV, Real-time Exercise Tracking, Repetition Counter, Flask, Offline AI Application, Human Activity Recognition, Angle Detection, Fitness Monitoring, Python