🌾 ML-based Soil Analysis for Crop Recommendation

This project uses machine learning to analyze soil parameters and recommend the most suitable crop for cultivation. It is aimed at helping farmers and agricultural experts make better data-driven decisions.

🚀 Features

• Analyze soil and atmosphere parameters like Nitrogen, Phosphorus, Potassium, pH, Humidity, Temperature, Rainfall.
• Predict the best crop to grow based on the input data.
• Clean and simple web interface using Flask.
• Trained using a Naive Bayes model.

🖥️ Tech Stack

• Python
• Flask for web framework
• Scikit-learn for ML
• HTML/CSS for frontend
• Git & GitHub for version control

📦 How to Run

1. Clone the repository

   git clone https://github.com/GBalaMurali5/ML-based-Soil-Analysis-for-Crop-Recommendation.git
   cd ML-based-Soil-Analysis-for-Crop-Recommendation