A computer vision–powered Virtual DJ controller Turn your webcam into a virtual DJ deck! AirBeatz lets you control volume, speed, pitch, and track navigation using intuitive hand gestures in real time.

AI Hand Controller uses Computer Vision to recognize hand gestures and control various functions on your computer. The application can control system volume and YouTube video playback speed through hand gestures via webcam.

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. 🖐️🖱️

A real-time hand gesture and distance-sensor-based mouse, scroll, and volume controller using Python, OpenCV, MediaPipe, and Arduino. This hybrid system enables touchless control of PC functions via hand gestures and ultrasonic sensor inputs.

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.

Magic Maestro 🪄✨🎹 is a DIY gesture-based MIDI controller that uses hand tracking and to bring instruments to life in real-time. Transform your gestures into dynamic expression and volume control with Python and a simple webcam.

A Python-based volume controller using OpenCV and MediaPipe that allows you to control your system volume with simple hand gestures via webcam.

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.

This project is a Volume Gesture Controller made using Python. This project uses opencv-python, mediapipe libraries to check for the distance between the thumb and index finger. The variance in distance changes the volume accordingly. This is an application of the Hand Tracking Module.

AI-based hand gesture controller to move mouse, adjust brightness, and change volume using your hands. Includes gesture visualizer and pretrained model . you can get direct .exe format by following this link Download at: [https://rohan-das.great-site.net/Projects/Docs/tut_app.html](https://rohan-das.great-site.net/Projects/Docs/tut_app.html)

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Volume-Controller-using-Hand-Gestures

Volume Controller using hand gesture

developed volume controller through hand gestures using opencv,mediapipe and pyautogui.

AI Volume Controller is a Python-based application that leverages computer vision and machine learning to adjust system volume using hand gestures. The project utilizes OpenCV, Mediapipe, and PyCaw to detect hand landmarks, recognize gestures, and modify volume levels dynamically.

Gesture volume controller using OpenCV is a computer vision-based system that uses hand gestures to control the volume of an audio or video player. It involves the use of a camera to capture live video input of the user's hand gestures and OpenCV library to analyze and recognize the gestures.

Touchless System Controller using Hand Gestures (OpenCV + MediaPipe + PyAutoGUI + Pycaw + Brightness Control) A fully touchless mouse and system controller that uses real-time hand tracking to move the cursor, perform left/right click, scroll, control system volume, and adjust screen brightness using custom hand gestures all through your webcam.

"Hand Gesture Vol Controller" is a project that utilizes computer vision and machine learning techniques to control the volume of a device using hand gestures. It enables users to adjust the volume by performing specific hand movements, enhancing the user experience and providing a hands-free control option.

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.

This AI Gesture Controller leverages OpenCV and MediaPipe to enable touchless system interaction. Using real-time hand landmark detection, it translates finger distances into hardware commands. Users can toggle control modes to adjust Volume via PyCaw or Brightness via SBC, bridging the gap between computer vision and daily utility.

Artificial Intelligence semester project in Python which adjust the system's volume using hand's gestures.

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A repository containing complete code of a volume controller that uses hand gestures.

a very basic approach to learn on OpenCV , Mediapipe, Pycaw, comtypes and ctypes

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volume controller using hand gestures