Gesture-Based Mouse Control

This project aims to create a Python program that controls mouse movement using OpenCV and a real-time camera that detects hand landmarks and tracks gesture patterns. The program is designed to replace the physical mouse with a hand gesture-based mouse movement. The project uses the OpenCV library for image processing and Mediapipe library for hand landmark detection. The program uses the coordinates of the detected landmarks to calculate the movement of the mouse. The movement of the mouse is based on the gesture pattern made by the hand, such as swiping left or right, moving up or down, and clicking. The program also allows the user to adjust the speed of the mouse movement. The project aims to provide a more natural and intuitive way of controlling the mouse, especially for people who have difficulty using the traditional mouse or have limited mobility. Overall, the project provides a user-friendly interface for controlling the mouse cursor with hand gestures instead of a physical mouse, which can be particularly useful for people with mobility issues or those who prefer a more natural way of interacting with their computer.