An interactive Rock–Paper–Scissors game built using Computer Vision and Hand Gesture Recognition.
The player’s move is detected in real time using a webcam, while an AI opponent plays against you.

This project uses OpenCV, MediaPipe, and CVZone to create a fun, responsive, and visually clean gaming experience.

• Real-time hand gesture detection
• AI opponent with random move selection
• Countdown-based round system
• Live score tracking (Player vs AI)
• Clean & modern UI using OpenCV overlays
• Restart and replay rounds easily
• Works directly with your webcam

• Python 3.10
• OpenCV
• MediaPipe
• CVZone
• NumPy

Rock_Paper_Scissor/ │ ├── data/ │ ├── bg.png # Background UI │ ├── rock.png # AI rock image │ ├── paper.png # AI paper image │ └── scissor.png # AI scissor image │ ├── main.py # Game logic ├── requirements.txt # Dependencies ├── .gitignore └── README.md

Please use Python 3.10.x for best compatibility with MediaPipe.

git clone https://github.com/Mohataseem89/Computer-Vision-RPS.git
cd Computer-Vision-RPS
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
python main.py

Project inspired by learning from Murtaza Hassan: Github

Mohataseem Khan 📧 Connect with me: LinkedIn • GitHub