🔊 Virtual Volume Controller — OpenCV + MediaPipe Project

Control your system volume using just your fingers — no keyboard, no mouse, just pure gesture magic! 🖐️🤏
Built using Python, OpenCV, and MediaPipe, this project uses your webcam to detect finger distance and adjust the volume in real time.

🖼 Demo

🎯 How It Works

📷 Your webcam tracks your index finger and thumb using MediaPipe's hand tracking.
The distance between them determines the volume level:

• 👉✌️ Stretch fingers wide → Volume increases
• 🤏 Bring fingers close → Volume decreases
• 👈👉 Touch both fingers → System is muted

This is a simple yet powerful demo of gesture-based human-computer interaction!

🚀 Features

✅ Real-time finger tracking with MediaPipe
✅ Dynamically adjust system volume based on finger distance
✅ Mute system when fingers are touching
✅ Clean UI using OpenCV overlays
✅ Works offline (on Windows)

🧠 What You’ll Learn

• Hand landmark detection using MediaPipe
• Measuring Euclidean distance between fingers
• Mapping distance to volume percentage
• Controlling system audio using pycaw (Windows)

🛠 Setup Instructions

1. Install the required dependencies, globlally or by creating a virtual environment:

   pip install -r requirements.txt

2. Run the application:

   python volumeHandControl.py

🧰 Tech Stack & Dependencies

• Python
• OpenCV
• MediaPipe
• pycaw (for controlling system volume on Windows)

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Contributions are welcome! 🙏 If you have any ideas for improvements, feel free to submit a pull request.
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