Enhancing Virtual Yoga Training: A Real Time Pose Assessment with Voice-Guided Accuracy Feedback

This paper introduces an innovative AI-based virtual yoga trainer that augments the user experience by providing real-time voice feedback on asana accuracy, revolutionizing independent practice without the need for a physical trainer. Leveraging advanced computer vision and machine learning, our system excels beyond human evaluation capabilities, offering immediate and constructive guidance for enhanced posture precision. In the context of existing virtual trainers, this research not only fills a crucial gap but also underscores the potential of AI to surpass human instructors in evaluating and guiding yoga postures. This integration of real-time voice feedback represents a significant advancement in virtual yoga training, making it more accessible and tailored to individual needs.