Third Place at BINOCUP 2023

At BINOCUP 2023, I was awarded third place at Noshirvani University of Technology for developing an innovative self-coaching system. This solution leveraged advanced human pose estimation algorithms to classify and guide users through exercises, specifically focusing on two fitness movements: squats and dumbbell lateral raises. The system was implemented as a fully functional web application that provides real-time feedback and form correction, helping users perform exercises safely and effectively without a human personal trainer.

• Automatically classifies exercises such as squats and dumbbell lateral raises using pose estimation.
• Provides real-time feedback and form correction to improve exercise performance and safety.
• Integrates text-to-speech (TTS) functionality to communicate instructions and encouragement to users.
• Implemented as a web-based application, making it accessible for users without the need for specialized hardware.

The system enhances user workout efficiency by combining computer vision with interactive guidance. Its ability to classify exercises, correct form in real time, and provide auditory coaching through TTS makes it a comprehensive self-training tool, offering an engaging and safe fitness experience.