Real Time Posture Feedback and Personalized Health Solution

This project presents a virtual yoga trainer based on artificial intelligence that will precisely guide users through yoga poses. The system employs a green circle grading mechanism for visual feedback and posture evaluation with TensorFlow and MoveNet. Pose duration can be monitored, and users may be adjusted in real-time. AI-based trainers have emerged to provide personalized exercise and feedback in real time as a reaction to increased need for personalized home fitness products. The UI/UX design of a virtual trainer that is personalized for solo practice at home is the central focus of this effort. The system produces flexible training routines through analysis of user information, including preferences, body measurements, and fitness objectives. The interface's ease of navigation, tracking progress, and interactive support are all enabled by its user-friendly, engaging, and intuitive design. In an effort to ensure an inclusive and dynamic experience, core design principles such as usability, accessibility, and customization are integrated. Feedback loops are integrated into the user-centric design in an effort to enhance interaction between the user and the AI trainer. The aim of this strategy is to make at-home workouts more effective, enjoyable, and accessible for everyone regardless of fitness level.