Fitvision : Smart Yoga Pose Classification And Detection

Abstract

The FitVision Smart Yoga project aims to enhance the yoga practice experience by integrat- ing advanced technology for real-time pose detection and personalized feedback. This innovative platform will utilize Convolutional Neural Networks (CNNs) to analyze user movements captured through webcams or mobile cameras, providing instant feedback on posture and alignment. By detecting key body landmarks, FitVision will offer corrective suggestions to improve technique, reduce injury risk, and cater to users of all fitness levels.The system will include a personalized feedback mechanism that adapts to individual biomechanics, ensuring that each user receives tai- lored guidance based on their unique posture. An AI-powered chatbot will provide real-time sup- port, helping users with queries and guidance. Progress tracking features will enable users to mon- itor their performance, visualize improvements, and set achievable goals, increasing motivation and promoting consistent practice.In addition, FitVision will foster a supportive yoga community through gamification and social features, encouraging user interaction and accountability. The platform will also provide educational resources on yoga techniques, mindfulness, and philosophy, supporting both physical and mental well-being.By removing barriers related to location and cost, FitVision will allow users to practice yoga anytime, anywhere, making quality yoga instruction accessible to all. Ultimately, the platform will provide a safe, engaging, and inclusive environment for users to refine their practice, achieve their wellness goals,a deeper understanding of yoga.