Hand Gesture Spotify Control

This project allows you to control Spotify playback using hand gestures captured via a webcam. It leverages computer vision (OpenCV and MediaPipe) to detect hand landmarks and the Spotify Web API (via Spotipy) to manage playback, volume, and track skipping. Gestures are intuitive and include play/pause, volume adjustment, track skipping, and enabling/disabling controls.

Features

• Play/Pause: Toggle playback with a simple gesture.
• Volume Control: Adjust volume based on thumb-to-index finger distance.
• Track Skipping: Skip forward or backward by moving your index finger.
• Toggle Controls: Enable or disable gesture controls with a specific hand pose.
• Real-Time Feedback: Visual feedback on the camera feed shows playback state, volume, and FPS.

Prerequisites

• Python 3.7 or higher
• A webcam (default camera index 0)
• A Spotify account and an active Spotify client running on a device (e.g., desktop or phone)
• Spotify Developer credentials (Client ID and Client Secret)

Installation

1. Clone the Repository:

   git clone https://github.com/case0074/hand-gesture-spotify-control.git
   cd hand-gesture-spotify-control
   

2. Install Dependencies pip install spotipy opencv-python numpy mediapipe

3. Set up Spotify API in Spotify Dashboard -Create an app to get Client ID and Secret ID -Replace clientid and Secret within the python files