FarmIQ is a machine learning-powered web application designed to provide smart crop and fertilizer recommendations based on soil and environmental parameters that are inputted manually. This serves as a simple demonstration of prediction and recommendation systems.
🚀 Live Demo: FarmIQ on Streamlit
✅ Crop Recommendation – Suggests the best crops based on soil and climate data.
✅ Fertilizer Recommendation – Provides optimal fertilizer recommendations for better yield.
✅ Streamlit Frontend – A simple, interactive UI for users to input data and receive predictions.
✅ SQLite Database – Stores historical data for insights and analysis.
✅ Machine Learning Models – Uses trained models for accurate recommendations.
- Frontend: Streamlit
- Backend: Python
- Database: SQLite
- Machine Learning: Scikit-learn
- Version Control: GitHub
# Clone the repository
git clone https://github.com/Mugilan1309/FarmIQ.git
cd FarmIQ
# Install dependencies
pip install -r requirements.txt
# Run the Streamlit app (Ensure all files are in the same directory)
streamlit run app.py© 2025 Mugilan1309 | FarmIQ