RootFact is a client-side AI Progressive Web App (PWA) that performs real-time vegetable recognition via camera streaming and generates instant contextual health fun facts using local in-browser LLMs—completely private and offline-ready.

• 📷 Real-Time Computer Vision: Uses custom TensorFlow.js models running on WebGPU/WebGL to identify vegetables with real-time FPS counter and confidence scores.
• 💡 On-Device Generative AI: Uses Transformers.js (Xenova/LaMini-Flan-T5-77M quantized ONNX) to produce personalized health fun facts with customizable personas (Funny, History, Science) without hitting external paid APIs.
• ⚡ Offline-First PWA: Integrated with Workbox Service Worker for precaching app shells and caching AI models locally for instant offline usage.
• 🏛️ Clean MVP Architecture: Built with clear separation of concerns (Models, Views, Presenters) for maintainability and scalability.

• Frontend Core: HTML5, Modern CSS (Glassmorphism Dark Theme), Vanilla JavaScript (ES2022)
• AI & Machine Learning: TensorFlow.js, Hugging Face Transformers.js (ONNX Runtime Web)
• Offline & Bundling: Webpack 5, Workbox (workbox-webpack-plugin), Service Workers
• Deployment: Netlify

• Node.js (v18 or higher)
• npm or yarn

1. Clone repository:

   git clone https://github.com/suryapamungkas/root-fact-app.git
   cd root-fact-app
   

2. Install dependencies:

   npm install
   

3. Run development server:

   npm run start-dev
   

4. Build for production:

   npm run build
   

👤 Author Nur Hidayat Surya Pamungkas GitHub: @suryapamungkas