Human Body Measurement using Computer Vision

Developed a computer vision-based system for extracting precise human body measurements using deep learning techniques. By analyzing images, the system automatically calculates key measurements such as waist, shoulder width, and limb lengths. This solution leverages neural networks to detect body landmarks, ensuring accuracy even with varying body poses and clothing. The project was implemented using Python, OpenCV, and PyTorch, offering potential applications in fashion technology, virtual fitting rooms, and health assessment tools.