✋🤟 Hand Sign Language Detection - Real-Time ASL Interpreter

A real-time hand sign language detection system built using OpenCV, Flask, and Deep Learning. The system captures live webcam feed, detects hand gestures using the cvzone HandTrackingModule, and classifies the detected signs using a custom-trained Keras model.

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📸 Project Demo

🔵 Real-Time Hand Sign Detection

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🔤 ASL Signs Reference

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📂 Features

✅ Real-time hand sign detection using webcam
✅ Pre-trained Keras model for ASL alphabet classification
✅ Live web interface using Flask
✅ Bounding box and label display on detected hand signs
✅ Supports both single-hand detection and classification

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📚 Labels (Classes Taught to the Model)

Label	Description
A-Z	American Sign Language alphabets
Calm Down	Gesture for "Calm Down"
Hello	Gesture for "Hello"
Love	Gesture for "Love"
Stand	Gesture for "Stand"
Thumbs Up	Gesture for "Thumbs Up"
Where	Gesture for "Where"

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🚀 How to Run

1️⃣ Install Dependencies

First, install all the required Python libraries:

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2️⃣ Run the Application

Once dependencies are installed, run the Flask application:

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3️⃣ Open in Browser

After running, open your browser and go to: http://127.0.0.1:5000/

You should now see your webcam feed and real-time hand sign detection with labels.

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🧠 Tech Stack

• Python 3
• Flask
• OpenCV