Yoga Posture Detection and Correction

Yoga is becoming increasingly popular due to its positive effects on the body and mind. Although many individuals engage in yoga practices, it is important to receive proper instruction from an experienced teacher to avoid potential health issues. The proposed solution aims to address this issue by developing a web-based application that uses a camera to capture the user’s yoga poses. The captured images are then processed by a TensorFlow Move Net model which identifies 17 key body points. This information is then fed into a Classification model which verifies the accuracy of sthe pose and if necessary, provides correction through a Correction model. The user will be alerted to any corrections through both visual and audio cues.