RPS Gesture Detector 🎮🖐️

rps-gesture-detector is a computer vision-based game that allows users to play Rock-Paper-Scissors by showing hand gestures in front of a webcam. Built with Python and OpenCV, the system processes the live video stream, detects the user's gesture, and determines the winner by generating a gesture from the AI.

🔍 Features

• Real-time hand gesture detection
• Background removal and preprocessing visualization
• Classic Rock-Paper-Scissors game logic
• AI opponent with random move generation
• User-friendly and responsive interface
• Optionally extendable to RPSLS (Lizard & Spock)

🛠️ Technologies

• Python
• OpenCV
• NumPy
• Tkinter

🚀 Installation

Follow these steps to set up the project on your local machine:

1. Clone the Repository
   Clone this repository to your local machine using Git:

   git clone https://github.com/your-username/rpsls-gesture-detector.git
   cd rpsls-gesture-detector

2. Set Up a Virtual Environment
   Create and activate a Python virtual environment to isolate dependencies:

   python -m venv .venv

   • On Windows:

     .venv\Scripts\activate

   • On macOS/Linux:

     source .venv/bin/activate

3. Install Dependencies
   Install the required Python packages listed in requirements.txt:

   pip install -r requirements.txt

4. Configure Environment Variables (Windows Only)
   If you encounter issues with tkinter, set the TCL_LIBRARY environment variable:

   $env:TCL_LIBRARY="C:\Users\<YourUsername>\AppData\Local\Programs\Python\Python313\tcl\tcl8.6"

5. Run the Application
   Start the Rock-Paper-Scissors gesture detector:

   python main.py

You're all set! Enjoy playing Rock-Paper-Scissors with gesture detection! 🎮🖐️