🌱 CrewAI-Powered Farming Advisor Mult-agent System

Uses CrewAI multi-agent LLMs for crop-specific analysis:

• Soil & climate assessment
• Pest & disease recommendations
• Cost-benefit evaluation
• Final PDF report

✨ Features

• Multi-agent system using CrewAI
• Real-time weather integration via OpenWeatherMap
• Custom recommendations for crop health and farm economics
• Auto-generated farmer-friendly report in PDF format
• Clean, interactive Gradio interface

📝 Inputs

• Crop type (e.g., Maize)
• Region (e.g., Axum)
• Soil data (e.g., pH: 6.2, Nitrogen: medium)
• Farm size (e.g., 400 acres)

📤 Output

• Detailed advisory report in plain text
• Downloadable PDF version

🧰 Technologies Used

• Python
• Gradio (Web UI)
• FPDF (PDF generation)
• OpenWeatherMap API
• CrewAI (LLM agent framework)
• Groq API (LLM backend)

📄 Sample Output

📥 Download PDF Report

🚀 How to Run

1. Clone the repo:

   git clone https://github.com/yaekobB/farming-advisor-multi-agent-system.git

2. Add .env with your API keys

   GROQ_API_KEY=your_groq_api_key
   OPENWEATHER_API_KEY=your_openweather_api_key
   

3. Install requirements:

   pip install -r requirements.txt

4. Run:

   python farming_advisor_agent_code.py