HandSign-AI

HandSign AI is a gesture recognition project designed to detect custom hand signs using Mediapipe, enabling hands-free control for various tasks. It identifies gestures like a fist, palm, and V-sign to automate actions such as starting/stopping video recording and capturing screenshots.

Features

• Detects fist, palm, and V-sign gestures.
• Automates:
  • Start Recording with a V-sign after 3 seconds.
  • Stop Recording with a palm gesture.
  • Capture Screenshot with a fist after 3 seconds.
• Hands-free interaction for improved accessibility.

Installation

1. Clone the repository:

   git clone https://github.com/rishraks/HandSign-AI.git
   cd HandSignAI 

2. Install dependencies:

   pip install opencv-python mediapipe numpy  

3. Run the project:

   python main.py  

Usage

1. Ensure your webcam is connected.
2. Show the following gestures:

• V-sign: Start recording after a 3-second countdown.
• Palm: Stop recording.
• Fist: Capture a screenshot after a 3-second countdown.

3. Press 'q' to quit the application.

Dependencies

• Python 3.x
• OpenCV
• Mediapipe
• NumPy

Future Enhancement

• Train custom hand gestures using machine learning models.
• Add gesture-based system control (e.g., volume, brightness adjustment).
• Integrate audio feedback for gesture detection.

Licence

This project is licensed under the MIT License.