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🌾 KrishiAI

Note: I built this entire application in 24 hours at runtime during a hackathon! If you liked it or found it helpful, please consider giving the repository a ⭐.

KrishiAI is an intelligent platform designed to empower farmers. It provides an AI-driven interface for voice consultations, on-device (offline) crop disease detection, and a real-time scraping interface for keeping up with the latest Government Schemes.

🚀 Features

  • Voice Consultation: Interactive voice interface (built with ElevenLabs & LiveKit) tailored for agricultural queries.
  • Offline AI Crop Detection: 100% offline crop detection running directly in the browser via Web Workers (@xenova/transformers).
  • Scheme Advisor: Live scraping and advisory interface for the latest Government Agricultural Schemes.
  • Dynamic Monitoring: Dashboards to monitor chat and visually track real-time agent operations.

🛠️ Tech Stack

  • Framework: Next.js (App Router)
  • Language: TypeScript
  • Styling: Tailwind CSS
  • AI/Realtime Tools: @elevenlabs/react, livekit-client, @xenova/transformers

⚙️ How to Setup locally

Prerequisites

  • Node.js (version >= 20 and < 23)
  • npm (or yarn/pnpm)

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/KrishiAI.git
cd KrishiAI

  2. Install dependencies:

    npm install

  3. Set up Environment Variables: Create a .env.local file in the root directory and add your required API keys (such as keys for Gemini, ElevenLabs, LiveKit, etc.).

  4. Run the development server:

    npm run dev

  5. Open the App: Open http://localhost:3000 in your browser to see the result.

🤝 Contributing

Contributions, issues, and feature requests are welcome!

📝 License

This project is licensed under the MIT License.