AI Agriculture Advisors

AI Agriculture Advisors is a Node.js application that leverages a local Large Language Model (LLM) to provide expert advice on various aspects of agriculture. The system simulates a team of AI-driven agricultural experts, each specializing in different areas of the agricultural sector.

Features

• Five AI expert roles:
  • Agricultural Science Expert
  • Climate Change Impact Analyst
  • Commodities Trading Specialist
  • AgriTech Innovation Researcher
  • Food Supply Chain Analyst
• Web interface for easy interaction with AI experts
• Markdown rendering for formatted responses
• Logging system to track all interactions

Prerequisites

• Node.js (v14 or later recommended)
• npm (comes with Node.js)
• A local LLM setup (e.g., Ollama running llama3.1:latest)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ai-agriculture-advisors.git
   cd ai-agriculture-advisors
   

2. Install dependencies:

   npm install
   

3. Make sure your local LLM (Ollama) is running and accessible at http://localhost:11434.

Configuration

• The application uses environment variables for configuration. Create a .env file in the root directory with the following content:

  PORT=3000
  LLM_API_URL=http://localhost:11434/api/generate
  LLM_MODEL_NAME=llama3.1:latest
  

Usage

1. Start the server:

   npm start
   

2. Open a web browser and navigate to http://localhost:3000 (or the port you specified in the .env file).

3. Select an expert, enter your query, and click "Submit Query" to get a response.

Project Structure

ai-agriculture-advisors/
├── src/
│   ├── server.js
│   ├── routes/
│   │   └── api.js
│   ├── controllers/
│   │   ├── agricultureExpert.js
│   │   ├── climateAnalyst.js
│   │   ├── commoditiesSpecialist.js
│   │   ├── agritechResearcher.js
│   │   └── supplyChainAnalyst.js
│   ├── services/
│   │   └── llamaService.js
│   └── utils/
│       └── logger.js
├── public/
│   └── index.html
├── agri-ai.txt
├── package.json
├── .env
└── README.md

Logging

All interactions with the AI experts are logged in the agri-ai.txt file, located in the project root directory. Each log entry includes the timestamp, expert role, query, and response.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Acknowledgments

• This project uses Ollama for local LLM integration.
• Markdown rendering is done using the marked library.