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.

This code is a Python program utilizing the tkinter library for building the graphical user interface (GUI), OpenCV (cv2) for webcam access and image processing, and MediaPipe (mediapipe) for hand tracking. The program also interacts with system audio using pycaw library.

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.

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.

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.

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HAND TRACKING VOLUME CONTROLLER USING PYTHON

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.

WaveTune is an AI-powered hand-gesture volume controller built with MediaPipe, OpenCV, and TensorFlow. Adjust audio by simply pinching your fingers—pinch down to lower volume, pinch up to raise it. Real-time tracking makes control smooth, touchless, and intuitive. Hands up, pinch, and effortlessly tune your world.

This project is a Screen Brightness Controller made using Python GUI. This project is an application of the Hand Tracking Module and uses the opencv-python and mediapipe libraries. It measures the distance between the thumb and index finger for changing the volume of the device.

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A Python project that allows you to control your system’s audio volume using hand gestures detected via webcam.

This project uses a webcam and hand-tracking AI to control your computer's master volume based on finger gestures. By adjusting the distance between your thumb and index finger, you can dynamically change the volume, with real-time feedback and FPS tracking.

A hand detection program that allows a user to control the volume of their device using their hand, the project was built using Python and specifically the OpenCV library

This project leverages computer vision and machine learning to interpret hand gestures and movements, enabling interaction with volume device of your pc without the need for physical controllers.

A volume controller with hand tracking.

Projects with OpenCV and hand tracking (volume controller and computer mouse controller)

A touchless volume controller built with Python, OpenCV, and MediaPipe. The system tracks hand landmarks through a webcam and adjusts macOS system volume based on the distance between the thumb and index finger using AppleScript (osascript). Demonstrates real-time gesture-based human–computer interaction.

Hand gesture–based controller to adjust volume using computer vision and gesture tracking.

This is a repository of Volume Hand Controller using Hand Tracking that is also made by me

A Hand Gestures based Volume Controller created using Mediapipe built in Hand Tracking Models, OpenCV and Image Processing.

Real-time gesture-based volume controller using AI hand-tracking (MediaPipe) and PyCaw audio APIs.

This repository contains a system volume controller using hand gestures with OpenCV and MediaPipe. Tracks hand movements via webcam for seamless, touch-free volume adjustment.

Volume Controller is a Python script that uses hand gestures captured from a webcam to control the system volume. It utilizes the Mediapipe library for hand tracking and the pycaw library for volume control.

🔊 Hand Gesture Volume Controller using OpenCV & MediaPipe Control your system volume using finger gestures captured via webcam. Uses real-time hand tracking and smooth audio control with visual feedback.

A real time hand gesture music controller built with OpenCV + MediaPipe to adjust system volume and control playback using finger tracking