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Python-based virtual mouse for dual-monitor setups, powered by OpenCV and MediaPipe. Navigate touch-free using hand gestures: pinch your right hand to move the cursor and your left hand to click or double-click. Features multithreaded video capture for smooth tracking.
AI-powered Virtual Mouse built using Python, OpenCV & MediaPipe 🚀 This project uses real-time hand tracking and computer vision to control the cursor using hand gestures through a webcam. Features: Hand Tracking,Smooth Cursor Control, Gesture Recognition, & AI-based Interaction.
Control your computer mouse and screen brightness using hand gestures! This project uses computer vision and hand tracking to create a touchless interface for your computer.
To develop games using a machine learning model with python for the benefit of one's physical health and the with the health of AI we have created a virtual mouse so it will run on the basis of our body gestures.
This project demonstrates how to control your computer's mouse using hand gestures with a webcam and the MediaPipe library. By tracking the position of your index finger and thumb, you can perform mouse actions such as clicking and moving the cursor, offering a touch-free interaction with your computer.
A virtual mouse powered by handtracking uses computer vision to recognize hand gestures via a webcam, enabling cursor movement and clicks without physical contact. Users interact naturally by waving or pointing, transforming their hand into a wireless mouse for touchless, intuitive PC control.
Real-Time Hand Gesture Recognition & Virtual Mouse using Python, OpenCV, MediaPipe and PyAutoGUI with cursor control, click actions, scrolling and screenshot capture.
Gesture Control Assistant lets you interact with your computer using hand gestures captured by your webcam. Powered by computer vision and machine learning, it enables touchless control for tasks like cursor movement, clicking, scrolling, and adjusting system settings like volume and brightness.
Developed python exe setup using tkinter to fully control mouse & keyboard by human hand and eye movements. It works with the help of different libraries and packages like OpenCV, Mediapipe, Cvzone, Dlib, Haar Cascade, etc.