AI Virtual Mouse Using Gesture Recognition

Abstract

The focus of this project is on the design and development of an AI-driven virtual mouse using gesture control for the enhancement of human-computer interaction. This project would utilize Python with libraries like OpenCV, Mediapipe, and PyAutoGUI, describing step-by-step execution from setting up to deploying. It aims to allow the user to have an easy-to-use, hands-free substitute for a traditional input device that can improve accessibility and enhance user experience. The system is designed to execute several functions, including scrolling, clicking, selecting, dragging, and dropping. It is exceptionally useful in situations where an average mouse is impractical due to presentations or tight working spaces. Its uses include in gaming, accessibility tools, or general computing tasks. Therefore, the machine learningintegrated system will be adaptable such that it improves its sensitivity and gesture recognition with time. This project underlines a very practical, innovative solution for improving daily computer interaction.