Anthropometric Measurement System using OpenPose
Ml Project
Technologies Used: Python, OpenPose, Computer Vision, OpenCV, Machine Learning, Body Analysis
Built an innovative anthropometric measurement system leveraging OpenPose API for automated human body analysis. The system captures real-time body measurements, posture analysis, and movement tracking through computer vision. Features include accurate body dimension calculations, posture correction recommendations, fitness progress tracking, and health metric analysis. The application is designed for fitness centers, healthcare providers, and personal training applications. Implements advanced pose estimation algorithms and provides detailed body composition insights.
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