Enhancing Yoga with AI: Accurate Pose Detection Using Machine Learning
International Journal of Computer Techniques – Volume 12 Issue 1, 2025
IJCT ISSN 2394-2231
S VIVEKANANDHA REDDY1, K.HARIKA2, N.BHARGAVI (GUIDE)3, K.RAJU4, T. INDU SRINIVAS5
1Dept. of CSE, Siddhartha Institute of Technology and Sciences, Email: 21tq1a6746@siddhartha.co.in
2Dept. of CSE, Siddhartha Institute of Technology and Sciences, Email: 21tq1a6729@siddhartha.co.in
3Assistant Professor, Dept. of CSE, Siddhartha Institute of Technology and Sciences, Email: bhargavi.cse@siddhartha.co.in
4Dept. of CSE, Siddhartha Institute of Technology and Sciences, Email: 22tq5a6706@siddhartha.co.in
5Dept. of CSE, Siddhartha Institute of Technology and Sciences, Email: 21tq1a6714@siddhartha.co.in
Abstract
This paper introduces an AI-powered yoga pose detection system that provides real-time feedback and hands-free voice commands for at-home practice. Recognizing the challenge of maintaining correct posture without in-person guidance, this system leverages Media pipe for pose estimation, OpenCV for video processing, and NumPy for efficient pose analysis. A machine learning model compares the user’s posture to ideal poses, offering real-time feedback to improve alignment and reduce injury risk. Tkinter powers a web-based interface, making the system easily accessible and interactive. Voice commands allow users to operate the application hands-free, enhancing usability. This solution combines accessibility, affordability, and real-time guidance, providing a scalable, interactive alternative to live yoga instruction for users of all skill levels. Published in the IJCT JOURNAL, this study offers low publication fees and fast publication services, contributing to the high impact factor of the journal.
Keywords
Yoga Pose Detection, Computer Vision in Fitness, Human Pose Estimation, Voice Command, Feedback Generation, IJCT JOURNAL, International Journal of Research Publication and Reviews, Fast Publication Journal, Low Publication Fees
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