GestuText

GestuText is a hand gesture recognition system using MediaPipe, OpenCV, and scikit-learn. It detects hand gestures from a camera in real-time and classifies them using a trained Random Forest model.

🤖 Supported Gestures

Gesture	Class	Label
👌	0	OK
👍	1	Yes
👎	2	No
✌️	3	Peace Out

📦 Project Structure

• collect_data.py – Captures webcam images of each gesture
• process_data.py – Extracts hand landmarks using MediaPipe and saves data to data.pickle
• train_model.py – Trains a Random Forest classifier and saves model.p
• run_model_live.py – Uses webcam to detect gestures in real-time and display predictions

🚀 How to Run

1. Collect Data
   Run collect_data.py and follow on-screen instructions to capture 200 images per gesture.

2. Process Data

   python process_data.py