🤟 Hand Sign Language Detection with Real-Time Webcam Input

A real-time hand sign language recognition system using computer vision and deep learning. Built with OpenCV, cvzone, and a custom-trained Keras model, this tool detects and classifies ASL (A–Z) hand gestures using your webcam.

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📌 Features

• 📷 Real-time webcam hand tracking
• ✋ Detects hand gestures A–Z
• 🧠 Integrates a trained Keras classification model
• 🖼️ Live GUI preview using Tkinter
• 🔄 Continuous detection with smooth frame updates

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🛠️ Tech Stack

• Python 3
• OpenCV (cv2)
• cvzone (HandTrackingModule, ClassificationModule)
• TensorFlow/Keras (.h5 model)
• NumPy, Math
• Tkinter for GUI
• PIL (Pillow) for image display

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🚀 How to Run

1. Install dependencies:

   pip install opencv-python cvzone numpy Pillow
   

2. Make sure you have the following files: • final_code.py – main script • Model/keras_model.h5 – trained model • Model/labels.txt – corresponding labels file
3. Run the application: python final_code.py