The Virtual Exercise Coach Application project aims to create an innovative tool that utilizes computer vision and machine learning to enhance exercise routines. The application will use a computer's camera to capture video footage of users performing specific exercises. By analyzing these images, the system will identify key body positions and movements, comparing them to ideal form standards. The primary goal is to provide real-time feedback to users, highlighting any deviations or mistakes in their form. This feedback will help users improve their exercise techniques, reduce the risk of injury, and enhance overall workout effectiveness. The project will focus on a limited set of exercises to ensure accuracy and reliability within the given timeframe, allowing learners to apply their knowledge of computer vision and machine learning in a practical setting.

The project deliverables include a functional prototype of the virtual coach application capable of analyzing exercise form using computer vision. The application should provide real-time feedback on user performance, highlighting deviations from ideal form standards. Additionally, a comprehensive report detailing the development process, challenges faced, and solutions implemented will be required. The project will also include a user guide explaining how to operate the application effectively.