Context-Aware Proofreader

AI-powered proofreading demos with context-aware correction and intelligent dictionary generation using Chrome's built-in AI APIs.

🚀 Live Demo

GitHub Pages: https://yashrajbharti.github.io/Context-Aware-Proofreader/

✨ Features

• Basic Proofreader: Inspired by Thomas Steiner's work using Prompt API
• Advanced Proofreader Demo: Comparing Proofreader API vs Prompt API
• Context-Aware Proofreader: Automatic topic detection with smart dictionary generation
• AI Word Generation: Topic detection and context word generation technology

🛠️ Development

Prerequisites

• Chrome Canary (for AI API support)
• Any static file server (Live Server extension, Python http.server, etc.)

Quick Start

1. Clone the repository:

   git clone https://github.com/yashrajbharti/Context-Aware-Proofreader.git
   cd Context-Aware-Proofreader

2. Serve the files:

   • VS Code: Use "Go Live" with Live Server extension
   • Python: python3 -m http.server 8000
   • Node: npx serve .
   • Any static server: Point to the project root

3. Open in browser: Your server URL (e.g., http://localhost:8000)

🏗️ Architecture

This project uses:

• Material Web Components (pre-bundled in dist/ folder)
• Chrome's AI APIs (Proofreader & Prompt APIs)
• Static file serving (no build system required)

Project Structure

The Material Web components are pre-built and included in the dist/ folder, so no npm installation or build process is required. Just serve the files statically and it works!

📁 Project Structure

├── dist/                    # Pre-built Material Web components
├── proofreader/            # Basic proofreader demo
├── proofreader-demo/       # API comparison demo  
├── demo-context/           # Context-aware proofreader
├── demo-generate/          # Word generation demo
├── index.html             # Main landing page
└── styles.css             # Global styles

🚢 Deployment

GitHub Pages Setup

1. Go to repository Settings → Pages
2. Source: "Deploy from a branch"
3. Branch: main / / (root)
4. The site will be available at your GitHub Pages URL

No build process needed! The project runs directly from the repository files.

🔧 Browser Requirements

• Chrome Canary with AI APIs enabled
• Secure context (HTTPS) required for AI APIs

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

Inspired by Chrome team's AI Experiments

🤝 Contributing

1. Fork the repository
2. Create your feature branch
3. Make changes and test locally
4. Submit a pull request

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Note: This project requires Chrome's experimental AI APIs which are currently only available in Chrome Canary with appropriate flags enabled.