Krishi Mitr is designed to empower farmers with advanced predictive tools. Predict rainfall accurately with our Ridge Regression model. Get personalized crop recommendations using our Random Forest algorithm tailored to your local conditions. Estimate crop yields confidently with a combination of CatBoost XGBoost and Decision Tree models. Assess Air Quality Index (AQI) with precision using our XGBoost model fine-tuned with Grid Search CV. Harness these features to optimize farming strategies and increase productivity.
Here're some of the project's features:
- Rainfall Prediction
- Crop Recommendation
- Crop Yield Prediction
- AQI Prediction
- Streamlit Webapp
- easy to use
- deployed
Technologies used in the project:
- Python
- Streamlit
- SciKit Learn
- Pandas
- Numpy
- Jupyter Notebook