Krishi Sahayak

Krishi Sahayak is an AI-powered agricultural assistant built with Next.js, Genkit, and modern React. It provides multilingual query understanding, image-based crop diagnosis, and text-to-speech features for farmers and agricultural officers.

Features

• Multilingual chat (English, Hindi, etc.)
• Image-based crop diagnosis
• Text-to-speech (TTS) for AI responses
• Voice input (speech-to-text)
• Forward queries to senior officers
• Modern, responsive UI with Tailwind CSS

Prerequisites

• Node.js (v18 or later recommended)
• npm (v9 or later)
• [Optional] Genkit CLI for AI development

Getting Started

1. Clone the repository:

   git clone https://github.com/sonu-dpu/ai-farmer.git
   cd ai-farmer
   

2. Install dependencies:

   npm install
   

3. Set up environment variables:

   • Copy .env.sample to .env and fill in any required values.

   cp env.sample .env
   # Edit .env as needed
   

4. Run the development server:

   npm run dev
   

   The app will be available at http://localhost:9002 by default.

Scripts

• npm run dev — Start Next.js in development mode
• npm run build — Build for production
• npm start — Start production server
• npm run lint — Lint code

Tech Stack

• Next.js 15
• React 19
• Genkit AI
• Tailwind CSS
• Radix UI
• TypeScript

License

MIT