Crop Recommendation System

This project aims to develop a crop recommendation system using machine learning algorithms such as Logistic Regression, Naive Bayes, Decision Tree, Gradient Boosting, and Random Forest. The system provides crop suggestions based on environmental factors, potentially improving agricultural yields.

Files

• .DS_Store: System file, ignore.
• Crop_Recommendation_System_Data.csv: Dataset containing soil and climate data for training.
• README.md: Project information.
• RF copy.pkl: Pickled Random Forest model.
• app.py: Python script for the web application.
• crop rec image.png: Screenshot of the crop recommendation interface.
• image logo.jpg: Project logo image.
• requirements.txt: List of required Python packages.
• setup.sh: Shell script for setting up the environment.

Usage

1. Install required packages: pip install -r requirements.txt
2. Run the app: streamlit run app.py

Contact

For any questions or suggestions, feel free to reach out:

• Name: [Mohamed Imthiyas]
• Email: [imthiyas916@gmail.com]
• GitHub: [imthi16]