A virtual painting app built with Python that lets you draw using hand gestures or mouse input. Powered by OpenCV & MediaPipe for real-time gesture tracking. Ideal for AI, CV, and creative tech enthusiasts!

A virtual mouse using gesture control lets users operate a computer without touching a physical mouse. Using a webcam, OpenCV, and MediaPipe, it tracks hand movements to move the cursor and perform clicks, offering a fast, touchless, and modern way to interact.**

AI-Powered Virtual Mouse 🖱️🤖 A touchless human-computer interaction system that uses MediaPipe and OpenCV to track hand gestures in real-time, enabling smooth cursor movement, left/right clicks, and custom gesture commands — all without touching a physical mouse.

This Python script utilizes OpenCV, MediaPipe, and PyAutoGUI to implement a virtual mouse that tracks hand movements via a webcam. It enables cursor movement and clicking using hand gestures.

In this project we will be using the live feed coming from the webcam to create a virtual mouse using hand tracking.

Virtual Mouse is an AI-powered project that lets you control your computer cursor using hand gestures via webcam. Built with Python, OpenCV, MediaPipe, and PyAutoGUI, it supports real-time tracking, gesture-based clicks, scrolling, and drag actions, offering a smooth, hands-free experience across platforms.

The project leverages MediaPipe for hand tracking to create a virtual mouse interface, enabling precise cursor control and clicking through intuitive hand gestures. It translates real-time hand movements into mouse actions using a webcam, offering a hands-free interaction experience.

Virtual Mouse is a Python computer vision project that lets users control the mouse using hand gestures via a laptop camera. It uses OpenCV, MediaPipe, and PyAutoGUI to track hand movements and perform mouse actions without a physical mouse.

Developed a hands-free virtual mouse using Python and OpenCV, utilizing ML algorithms for real-time hand gesture recognition and implementing computer vision techniques to track and interpret hand movements.

Virtual Game Controller tool using computer vision & Mediapipe library to control mouse & keyboard via hand gestures. Tracks & maps gestures from webcam, enabling mouse movement, clicks, & typing. Enhances computer accessibility for limited mobility.

This project transforms your webcam into a virtual mouse, allowing you to control your computer's cursor using real-time hand gestures. By tracking hand movements and recognizing specific finger gestures, you can navigate, click, and interact with your screen without a physical mouse.

This is a Python-based virtual painting application that uses hand tracking with MediaPipe and OpenCV. You can draw on the screen by using your index finger and clear the canvas with a hand gesture—no mouse or touchscreen required!

In this project, we will be tracking our hand(s) and its features using mediapipe. This project can be further used to count number of fingers, calculate distances or AI Virtual Mouse or Keyboard.

This Python Virtual Mouse project lets you control your computer in a unique way! Use eye tracking and hand gestures to navigate effortlessly. Experience precision with the 'Eye Control' script and intuitive control with 'Hand Control'.

AI Virtual Mouse enables touch-free, precise cursor control using hand gestures, leveraging MediaPipe and OpenCV for real-time hand tracking and gesture recognition. Ideal for users with mobility impairments and hygiene-critical environments, this system offers a scalable, efficient solution for intuitive, hands-free interaction.

A real-time hand tracking and gesture recognition system using MediaPipe, OpenCV, TensorFlow, React, and Flask. This system demonstrates advanced computer vision techniques with practical applications including audio control, gesture recognition, air drawing, and virtual mouse control.

Virtual Mouse is an AI-powered, gesture-based control system that replaces traditional peripherals with hand movements. Using MediaPipe for hand tracking and PyAutoGUI for cursor control, it enables seamless clicking, scrolling, and navigation through simple gestures. Experience a futuristic, touchless interaction with your PC! 🚀🖱️

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Gesture-controlled virtual mouse using computer vision and hand tracking

A virtual mouse using OpenCV tracks an hand via a camera feed and do mouse functions🖱️

A hand tracking app that doubles down as a virtual mouse using the python open cv library

An AI-powered virtual mouse an This project utilizes OpenCV, MediaPipe, and AI-based hand tracking to replace traditional input devices. Features 🚀 ✅ Control mouse cursor movement using hand gestures ✅ Click, scroll, and drag without a physical mouse ✅ Virtual keyboard for typing using hand signs ✅ Uses models

This project implements a Virtual Mouse using hand gesture recognition. It leverages MediaPipe for hand tracking, OpenCV for image processing, and PyAutoGUI for controlling mouse actions like movement, clicking, and scrolling.

🖱️ A computer vision-based virtual mouse that lets users control the cursor using hand gestures. Demonstrates real-time hand tracking, gesture recognition, and interactive applications using OpenCV.

A collection of Python scripts using OpenCV and MediaPipe for real-time hand tracking and interaction. Includes basic landmark tracking, virtual mouse control, and fingertip press detection.

AI Virtual Mouse system leveraging real-time hand tracking using MediaPipe and OpenCV. Provides gesture-based mouse control including cursor movement, click detection, and FPS calculation. Designed as a hands-free HCI project for beginners.

Control your computer mouse with just your hand gestures! This AI-based virtual mouse uses computer vision and hand-tracking to simulate mouse movements and actions like left-click, right-click, and double-click — all without touching your device.

Control your computer using hand gestures with real-time tracking using OpenCV, MediaPipe, and Python. Acts like a virtual mouse with gestures for movement, clicking, and scrolling.

Virtual Mouse using hand gestures is a Python project that lets you control your computer mouse with just your hand movements, captured via a webcam. Using libraries like OpenCV for video processing, Mediapipe for hand tracking, and PyAutoGUI for mouse control, it detects your hand gestures in real time to move the cursor, click, or scroll

This project implements a fully functional AI-based Virtual Mouse that uses your webcam to detect and track hand gestures for controlling the mouse pointer — without touching any physical device. Built using OpenCV, MediaPipe, and PyAutoGUI, this system replaces traditional mouse input with real-time hand tracking and gesture recognition.