This project automates object detection and manipulation using a robotic arm integrated with a vision-based system. By combining an ESP32 camera and a six-servo robotic arm with YOLO-based object recognition, the system can accurately detect, pick up, and place objects without human intervention.

The robotic arm is controlled via a mobile app, which communicates with the robot through an API for real-time status updates and remote operation. This innovation enhances productivity and reduces human error in industrial settings, making item handling more efficient and intelligent.