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.

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.

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.

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.

🔊 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.

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.

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

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.

Volume Controller Using Hand Gestures Developed a Python application that allows touchless control of system volume using hand gestures. The system uses OpenCV for capturing webcam input and Mediapipe for hand tracking. The distance between the thumb and index finger adjusts the volume, providing an intuitive, hygienic.

A real-time hand gesture-based volume controller that adjusts system audio by measuring the distance between the thumb and index finger using OpenCV and MediaPipe Hand Tracking.

Hand Gesture Volume Controller is a Python-based computer vision project that uses OpenCV and MediaPipe to track hand landmarks and map finger distance to real-time system volume control.

Therecam is a webcam-based theremin controller that uses MediaPipe hand tracking to generate expressive MIDI control data for pitch, volume, and more.

Hand Gesture Controller built with OpenCV and MediaPipe. Control cursor movement, scrolling, system volume, and mouse clicks using real-time hand tracking through your webcam. Supports smooth cursor control, gesture-based mode switching, and Windows volume integration without using a mouse or keyboard.

Created a hands-free PC volume controller using Python, OpenCV, Mediapipe, and PyCam. This project enables users to adjust computer volume through intuitive hand gestures in real-time. Leveraging Mediapipe for precise hand tracking and PyCam for webcam integration ensures seamless and responsive gesture recognition.

This project is a real-time hand gesture-based system volume controller built using Python. It utilizes OpenCV for image processing, Mediapipe for hand tracking, and pycaw to interface with system audio controls.

This project uses computer vision and hand tracking to create a gesture-based volume controller. With OpenCV and MediaPipe, it tracks hand movements through a webcam and measures the distance between the forefinger and middle finger to adjust the volume up or down.

This project creates a virtual mouse and system volume controller using hand gestures. It leverages Computer Vision and Python libraries like Mediapipe for hand tracking, autopy for mouse control, and pycaw for volume adjustment, providing a seamless and touch-free interaction experience.

A hand gesture volume controller using Python, OpenCV, and MediaPipe. It uses your webcam to track your hand in real-time and changes the macOS volume when you move your index finger up or down compared to your thumb. This tool works only on macOS using AppleScript to control the volume.

A real-time Hand Gesture Volume Controller using Python, OpenCV, and MediaPipe. It tracks your fingers through the webcam and adjusts the system volume based on the distance between thumb and index finger. Fully compatible with macOS, using AppleScript for volume control.

Hand-Based Sound Controller uses MediaPipe hand tracking and OpenCV to detect finger gestures in real time and control system volume smoothly through PyCAW. A simple, interactive AI project demonstrating gesture recognition, computer vision, and hands-free audio control.