🌾 AI Crop Prediction System

An intelligent crop recommendation system that combines real-time weather data, soil analysis, and Gemini AI to suggest the most suitable crops for a given location.

Features

• 📍 Pincode-based location detection (India Post API + Nominatim)
• 🌦️ Real-time weather data via Open-Meteo Archive API
• 🌱 Soil type mapping for Kerala regions
• 🤖 AI-powered crop recommendations using Google Gemini
• 💰 Budget-aware suggestions with cost, market price & profit range

Tech Stack

• Frontend: Streamlit
• AI: Google Gemini API (gemini-1.5-flash)
• Weather: Open-Meteo Archive API
• Geocoding: India Post API + Nominatim (OpenStreetMap)
• Language: Python

Setup

1. Clone the repo

   git clone https://github.com/yourusername/ai-crop-prediction.git
   cd ai-crop-prediction

2. Install dependencies

   pip install streamlit requests google-genai

3. Add your Gemini API key to .streamlit/secrets.toml

   GOOGLE_API_KEY = "your_api_key_here"

4. Run the app

   streamlit run app.py

How It Works

1. User enters a pincode, season, and budget
2. India Post API resolves pincode → district/state
3. Nominatim geocodes district → lat/lon coordinates
4. Open-Meteo fetches historical weather for the season
5. Gemini AI generates 5 crop recommendations with cost & profit analysis

APIs Used

API	Purpose
Google Gemini	Crop recommendations
Open-Meteo Archive	Historical weather data
India Post API	Pincode resolution
Nominatim (OSM)	Geocoding