This project presents an AI-powered virtual mouse system using hand tracking technology. The system allows users to control the computer cursor and perform mouse operations using hand gestures instead of a physical mouse. It uses computer vision techniques to detect and track hand movements through a webcam. The implementation is developed using Python with libraries such as OpenCV and MediaPipe. Different hand gestures are mapped to mouse actions like cursor movement, left click, right click, and scrolling. This project demonstrates the application of artificial intelligence and gesture recognition for human-computer interaction.
Banoth et al. (Sun,) studied this question.