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This project is a Multi-Agent AI System that assists farmers by providing AI-driven crop recommendations, market analysis, and real-time weather insights by the use of Ollama AI, WeatherAPI, and SQLite3, it optimizes resource usage, reduces costs, and maximizes profits—ensuring sustainable and data-driven agriculture.

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🌾 Agriculture AI Assistant

A Smart AI-powered system that empowers farmers with real-time weather-based crop recommendations and market insights.

📌 Problem Statement

Many farmers lack access to expert agricultural advice and real-time data, leading to poor crop choices and financial losses. This project bridges that gap using Artificial Intelligence, real-time weather APIs, and market analysis to enable better, data-driven decisions.

🧠 Solution Overview

The system suggests the most sustainable crops for cultivation based on soil parameters, live weather data, and current market prices using a multi-agent architecture.

⚙️ Technologies Used

  • Python – Core logic & backend
  • Tkinter – User interface development
  • SQLite – Data persistence
  • Matplotlib & Pandas – Data visualization & analytics
  • WeatherAPI – Real-time weather data
  • TinyLlama (via Ollama API) – AI crop recommendation agent

🎯 Usefulness

🌱 Enhances farmer productivity through AI-based decision making.
🌦 Optimizes crop selection based on real-time environmental factors.
📈 Improves profitability with intelligent market trend analysis.
🧾 Allows farmers to store and export historical data for planning.

About

This project is a Multi-Agent AI System that assists farmers by providing AI-driven crop recommendations, market analysis, and real-time weather insights by the use of Ollama AI, WeatherAPI, and SQLite3, it optimizes resource usage, reduces costs, and maximizes profits—ensuring sustainable and data-driven agriculture.

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