🤟 SignSpeak

AI-Powered Real-Time Sign Language Recognition in the Browser
Breaking communication barriers using Computer Vision & Deep Learning.

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🌍 Overview

SignSpeak is a real-time sign language recognition web application that translates hand gestures into text (and optional speech) directly in the browser.

Built using MediaPipe hand tracking and TensorFlow-powered gesture recognition, the system detects 21 hand landmarks per hand and performs ultra-low latency inference without sending any data to a server.

All processing happens locally for maximum privacy and speed.

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🚀 Live Demo

👉 https://subhamsje.github.io/SignSpeak/

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🧠 How It Works

1. Camera feed is captured in the browser.
2. MediaPipe detects 21 landmark points per hand.
3. Landmark coordinates are processed by a trained gesture classification model.
4. The predicted sign is displayed instantly.
5. Optional Text-to-Speech converts it into audio output.

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✨ Features

• 🎥 Real-time hand tracking (60 FPS)
• 🧠 AI-based gesture recognition
• 🔊 Built-in text-to-speech
• ⚡ <30ms response time
• 🔒 100% client-side processing (no server uploads)
• 🌐 Works in any modern browser
• 📱 Mobile & Desktop compatible
• 📚 Gesture learning library

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🛠 Tech Stack

• HTML5 / CSS3
• JavaScript (ES6)
• MediaPipe Hands
• TensorFlow / TensorFlow Lite
• WebGL acceleration
• Web Speech API
• GSAP Animations

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🧩 Supported Gestures

• ASL Alphabet
• Numbers
• Common Phrases
• Custom Gesture Extensions (scalable)

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📦 Installation (Local Setup)

git clone https://github.com/YOUR_USERNAME/SignSpeak.git
cd SignSpeak

Then open:

index.html

in your browser.

No backend required.

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🔐 Privacy

All gesture detection runs directly in the browser.
No images, videos, or user data are transmitted to any server.

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📈 Future Improvements

• Sentence prediction using NLP
• Multi-language sign support
• Custom gesture training module
• User authentication & profile tracking
• Mobile PWA optimization
• AI-powered contextual corrections

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🎯 Why This Project Matters

Over 70+ million deaf individuals worldwide rely on sign language for communication.
SignSpeak aims to make sign language universally understandable using AI.

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👨‍💻 Author

Subham
Computer Science Engineer
Focused on AI, Startups & Scalable Systems

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⭐ If You Like This Project

Give it a star and share it with others. Let’s build a more accessible world together.