COFFEA-OS: Quantum Plantation Intelligence

A futuristic, high-performance agricultural assistant designed for coffee plantation managers and researchers. COFFEA-OS utilizes advanced neural vision to perform forensic botanical analysis, identifying coffee varieties, health status, and pathological threats directly from image telemetry.

🚀 Features

• Multimodal Bio-Scanner: Real-time camera feed and gallery analysis for bean and leaf evaluation.
• Forensic Pathology: Detection of pests, leaf rust, and physical bean defects with high-confidence scoring.
• Tactical Co-Pilot: AI agronomist for complex queries regarding soil chemistry, irrigation optimization, and climate resilience.
• Deep Reasoning: Toggleable high-compute mode for complex biological troubleshooting.
• Low-Light UI: High-contrast, futuristic interface optimized for field use.

🛠️ Tech Stack

• Frontend: React 19, Tailwind CSS
• Intelligence: Neural engine integrated via advanced vision models.
• Styling: Space Grotesk & JetBrains Mono for a technical, legible aesthetic.

🔐 Security & Setup

This project uses environment variables to handle secure authentication. Never commit your actual API keys to version control.

Installation

1. Clone the repository.
2. Create a .env file in the root directory (see .env.example).
3. Add your credentials:

   API_KEY=your_secret_key_here

4. Install dependencies and start the development server:

   npm install
   npm start

GitHub Deployment

• This repo is safe to make Public.
• The .gitignore file is configured to exclude your .env file.
• When deploying to platforms like Vercel or Netlify, add your API_KEY in the "Environment Variables" section of their dashboard.

📜 License

Distributed under the MIT License. See LICENSE for more information.