A virtual mouse controlled by hand gestures using finger points. Implemented using mediapipe and openCV.
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.
This is a Computer Engineering 6th sem project. AI Based virtual Mouse
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 python program which uses fingers of a human hand and uses the inputs to simulate mouse on the screen
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.
Control your Windows cursor using only your hand and a webcam — no physical mouse required.
Virtual Mouse using Hand and Thumbs by Python Programming. Packages used: cv2, mediapipe, pyautogui
A python application to control mouse functions using hand gestures leveraging MediaPipe, OpenCV and Tensorflow.
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.
This project provides a futuristic way to interact with your computer by transforming your hand into a virtual mouse.
This is a Python Flask web application that use hand and finger tracking technology to perform virtual mouse control
Real-Time Hand Gesture Recognition & Virtual Mouse using Python, OpenCV, MediaPipe and PyAutoGUI with cursor control, click actions, scrolling and screenshot capture.
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.
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