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Author(s):

Mr.Anand M | Mouleeswar SV | Visvak Sena D | Pranesh T
Keywords:

Yoga AI, Computer Vision, Deep Learning, Posture Detection, Human Pose Estimation, Wellness Technology, MediaPipe, Pose Correction
Abstract:
Yoga Has Emerged As A Vital Practice For Enhancing Physical Fitness, Mental Well-being, And Overall Health. However, Practicing Yoga Without Proper Guidance Can Lead To Incorrect Postures, Reducing Effectiveness And Increasing Injury Risk. This Paper Presents Yoga AI, An Intelligent System Leveraging Artificial Intelligence And Computer Vision For Real-time Posture Correction And Asana Guidance. The System Employs MediaPipe Pose Estimation Framework To Capture Body Keypoints From Video Input, Calculates Joint Angles To Assess Posture Accuracy, And Provides Immediate Visual And Auditory Feedback And Underatnding Of Integrated With Deep Learning Models Including Convolutional Neural Networks (CNNs), The System Achieves 94.3% Accuracy In Pose Classification Across 15 Common Yoga Asanas. Experimental Results Demonstrate The System's Effectiveness In Detecting Postural Deviations And Guiding Users Toward Correct Alignment. The Proposed Solution Addresses The Growing Need For Accessible, Personalized Yoga Instruction In Digital Wellness Platforms, Rehabilitation Centers, And Home-based Practice Environments.