Smart Crop Recommendation System

Overview

A simple web app that recommends the top 3 crops for given soil and weather conditions using a Random Forest model.

Setup

1. Clone this repository / extract folder.
2. Place the Figshare dataset CSV into data/ folder as crop_data.csv.
3. Create a virtual environment and install dependencies: pip install -r requirements.txt
4. Train the model: python train_model.py
5. Run the Streamlit app: streamlit run app/app.py
6. Enter feature values and see the top 3 recommended crops.