International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Yoga Pose Detection Using AI

Author(s) Ms. AYISHA KHANUM, Mr. AKSHAY V, Ms. BHOOMIKA R, Ms. SAKSHI S Y, Mr. UDAY P
Country India
Abstract Yoga is essential in helping you maintain physical health and stability, posture control, concentration and mental focus as well as improving one's overall well-being.However, beginners may face some difficulty in mastering the poses correctly without proper guidance, hence misalignment could lead to less benefit. In this paper, we propose an AI-Based Real-Time Yoga pose detection System which helps in performing yoga accurately to the users with real-time visual feedback and guidance. The system uses MoveNet for human pose landmark extraction and a fine-tuned deep learning classifier developed that is additionally converted into TensorFlow. js for browser-based, real-time execution without any extra set up. It has some unique features like pose match(mirroring partner), position-hold timer, inhale–exhale breathing cue, corrective visual feedback and a benefits module with health benefits of poses, tracking the user progress for building up their practice. The system design is modular, scalable and integrates real time video pro-cessing, pose prediction, feedback generation; accuracy responsiveness and usability. Testing All (includ-ing tests units for the classifier)
Keywords AI Pose Detection, Yoga Posture Recognization, MoveNet, Deep Learning, Tensorolw.js Real-Time Feedback, Human Pose Estimation, Computer Vision, Fitness Technology, Pose Classification
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62638
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E-ISSN 2582-2160
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