Create a smart AI system that controls robotic arm movement using real-time human pose estimation. The Pose Estimation for Arm Control project combines computer vision, artificial intelligence, and robotics to detect human body or hand movements and translate them into precise robotic arm actions.

This innovative project uses advanced pose estimation algorithms to track key body joints in real time, enabling intuitive gesture-based control without wearable sensors. It is perfect for students, researchers, and robotics enthusiasts interested in AI-driven automation and human–machine interaction.