The Physio App aims to revolutionize personalized physiotherapy by providing users with customized exercise routines tailored to their specific injuries, preferences, and fitness goals. The project focuses on developing core functionalities such as user and physiotherapist profiles, routine generation, progress tracking, and real-time feedback. Learners will apply their coding skills to build these essential components, ensuring a seamless user experience. Additionally, the project involves researching appropriate AI models to enhance the app's capabilities. This includes exploring computer vision for exercise form assessment, predictive analytics for injury prevention, and machine learning for personalized routine recommendations. The ultimate goal is to integrate AI effectively to create a safe, effective, and user-friendly app experience.

The project deliverables include a functional prototype of the Physio App with implemented core features such as user profiles, routine generation, and progress tracking. Additionally, a comprehensive research report on AI models suitable for enhancing the app's capabilities, including computer vision and machine learning applications, will be provided. The team will also deliver a presentation summarizing their findings and demonstrating the app's functionalities.