In this project we will be using the live feed coming from the webcam to create a virtual mouse with complete functionalities.

Framework for simplifying the usage of XR Hands by automagically creating a special XR Device which implements designed hand poses as buttons for using with the unity's Input System Package

This repository contains a Python-based hand gesture recognition system that allows users to control applications using simple hand gestures. The system leverages the MediaPipe framework for real-time hand tracking and finger counting. Users can interact with their computers hands-free, making it ideal for presentations, media playback, and more.

his Python script utilizes OpenCV and MediaPipe to perform real-time hand tracking using a webcam. The code captures video input from the default camera, processes the frames to detect and track hand landmarks using the MediaPipe Hands module, and subsequently visualizes the landmarks on the live feed.

Gesture Control to change the volume of a computer. We first look into hand tracking and then we will use the hand landmarks to find gesture of our hand to change the volume. This project is module based which means we will be using a previously created hand module which makes the hand tracking very easy.

It is a mouse simulation system which performs all the functions performed by your mouse corresponding to your hand movements and gestures. Simply speaking, a camera captures your video and depending on your hand gestures, you can move the cursor and perform left click, right click, drag, select and scroll up and down. The predefined gestures ma…

A creative use of machine learning is shown here to play the famous game "Chrome Dinosaur" using your finger movements.

This repository hosts code for a virtual AI keyboard, enhancing typing with AI-powered word predictions and suggestions. It includes libraries, frameworks, and data for easy integration and customization. Ideal for developers seeking intelligent typing solutions or users wanting a smarter keyboard experience.

Hand Tracking 30 FPS using CPU using OpenCV

Controlling volume of PC/Laptop using Gesture with the help of openCV

This Python project utilizes the Mediapipe library to track hand landmarks in real-time from the webcam feed. It provides an interactive interface to visualize the hand landmarks and displays a highlighted circle around the tip of the index finger for better visibility.

An openCV application that uses Python and MediaPipe to detect hands, hand landmarks, and then use them to paint on a live webcam.

ALICIA is a desktop-based AI virtual assistant application. The application is developed using Python. This assistant includes advanced automation features such as security face detection, Wikipedia API search, OS automation, Twilio integration, email, and WhatsApp automation, and many more

Stone✊ Paper🖐️ Scissor✌️ !

In this project we will be using the live feed coming from the webcam to create a virtual mouse with complete functionalities.

A Python-based Virtual Mouse using Mediapipe for real-time hand tracking and OpenCV for gesture recognition. Control your computer cursor with hand gestures like point, click, drag, and scroll—no physical mouse needed! 🚀

This repo has modules to help you to get automation at work by CV2 & Mediapipe using python.

A Python based project for mouse events like air mouse, volume and opening youtube by using Hand Gestures.

A python application to control mouse functions using hand gestures leveraging MediaPipe, OpenCV and Tensorflow.