Control your music player with hand gestures. Wave, swipe, or show a thumbs up to change tracks, adjust volume, and play/pause music using real-time computer vision and gesture recognition.

Here's a complete Python project for a Hand Gesture Volume Controller using webcam. This project uses OpenCV, MediaPipe, and pycaw (for controlling system volume on Windows). It adjusts the system volume based on the distance between the thumb and index finger.

Gesture Controller using hand gestures for system control with Python, MediaPipe, and OpenCV. Interact with your computer through intuitive gestures for mouse movement, clicking, volume adjustment, and brightness control. 🖐️🖱️

HorizonGest is a real-time hand gesture recognition system built with C++ and OpenCV. This project enables users to adjust system settings like volume and screen brightness through hand gestures detected via webcam, making system control effortless and touch-free.

This repository provides a robust solution for controlling your mouse and audio volume using hand gestures, leveraging the advanced features of Mediapipe and OpenCV. With real-time hand tracking and gesture recognition, users can effortlessly browse through the system and adjust volume levels by simply moving their hand.

Volume Control Gesture lets users adjust system volume using hand gestures 🖐️🎚️. It uses OpenCV, MediaPipe, and Pycaw for real-time tracking. Simply move your fingers to increase or decrease the volume! 🔊

Volume Control using OpenCV | Python This project implements a hand gesture-based volume control system using OpenCV and Python. It detects hand movements via a webcam feed and automatically adjusts the system volume. Perfect for those interested in computer vision and gesture recognition.

Spotify Gesture Control is an innovative application that allows you to control Spotify using hand gestures via a webcam. With MediaPipe and Pygame, the application detects hand movements to adjust the volume and change tracks on Spotify.

🚀 Hand Gesture Volume Control: A Flask web app using OpenCV, pycaw, and hand tracking for real-time volume adjustment via gestures. Stream video, detect hand positions, and control system volume seamlessly. Explore Python libraries like Flask, OpenCV, numpy, and pycaw in this interactive project! 🌟

Hand Gesture-Driven Volume System lets users adjust their computer’s volume using hand gestures, providing real-time visual feedback on a web interface. It combines gesture tracking, audio control, and live updates to create an intuitive and interactive experience.

My latest project: a Hand Gesture Volume Controller using Python, OpenCV, and MediaPipe! 🤚🎶 This innovative project leverages real-time hand tracking and gesture recognition to adjust system volume seamlessly. By detecting the distance between the thumb and index finger, the volume can be controlled intuitively and contactlessly.

This project enables gesture-based control of media playback (play/pause) and volume adjustment (up/down) using hand gestures. By detecting hand movements, the system allows users to interact with their media devices without needing to touch any buttons, offering a more intuitive and hands-free experience. Features: Play/Pause Controll and volume.

This Python program utilizes the power of OpenCV to control system volume based on hand gestures captured by your camera. By tracking specific gestures, it provides an intuitive and hands-free approach to adjusting volume levels. Feel free to explore the code, contribute, and enhance the functionality.

Gesture-based music players allow users to control playback functions, such as skipping tracks, adjusting volume, or pausing music, by performing specific hand movements in front of a camera or a dedicated sensor.

Hand Gesture Volume Control – A real-time system that lets you adjust your device's volume using hand gestures, powered by OpenCV, MediaPipe, and Pycaw.

"Hand Gesture Volume Control" allows adjusting system volume via hand gestures captured by a webcam. Visual feedback with a volume bar and notifications for maximum/minimum levels are provided. Developed collaboratively by Riya Layek, Parul Srivastava, and Madhurima Mukherjee.

A Python project using MediaPipe to control the system volume through hand gestures detected via webcam. Adjust the volume by moving your thumb and index finger apart or closer together.

Control your system volume using simple hand gestures! GestureVolume leverages OpenCV, MediaPipe, and system commands to adjust volume dynamically based on finger distance. No need to touch your keyboard or mouse

This project implements a gesture-controlled volume adjustment system using hand tracking. By detecting the distance between your thumb and index finger, you can control your computer's volume level in real-time. The project uses computer vision through OpenCV and MediaPipe for hand tracking, combined with pycaw for Windows audio control.

Control music playback using your hand gestures — change songs, adjust volume, pitch, and speed in real-time using computer vision and audio processing (MediaPipe + PYO).

MediaPipe-based project for controlling slides, adjusting system settings (brightness, volume), and managing multimedia using hand gestures. This hands-free solution demonstrates innovative applications of computer vision and gesture recognition for seamless interaction with a computer.

My system allows you to control some useful programs using gestures, as well as control the cursor and adjust the volume on the computer using hand movements, and there is also a voice assistant

This project implements a hand gesture-based volume control system using a webcam. By detecting the distance between the thumb and index finger using MediaPipe and OpenCV, the system adjusts audio volume in real time via Pycaw. It features smooth volume transitions and intuitive control for a seamless user experience.

The Spotify Gesture Controller is a Windows app that lets users control Spotify using hand gestures. Built with Python, MediaPipe, and OpenCV, it recognizes simple gestures to play, pause, skip tracks, and adjust volume. It features a GUI and auto-launches Spotify for a seamless, hands-free music experience.

GestureTube: A hands-free way to control YouTube using intuitive hand gestures! Powered by OpenCV, MediaPipe, Selenium, and Pycaw, this project lets you play, pause, adjust volume, and mute videos with simple gestures detected through your webcam. Perfect for seamless media control without touching your keyboard or mouse.

GestureVolume is an innovative application that allows you to control your system's volume using intuitive hand gestures. Designed for seamless integration across multiple operating systems including Windows, Linux, and macOS, GestureVolume offers a hands-free and futuristic way to adjust audio settings.

This project implements a gesture-based control system to change the volume on a computer using hand tracking and gesture recognition. By leveraging the power of MediaPipe's hand tracking module, the application captures real-time hand movements through a webcam and tracks the hand landmarks.

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Gesture-Based Mouse Control with Hand Detection and Audio Volume Adjustment

Hand Gesture Volume Control — a real-time webcam app that recognizes hand gestures to adjust system volume.