https://github.com/kanchanraiii/krishi-mitr

Explore our tools to make informed agricultural decisions.
https://github.com/kanchanraiii/krishi-mitr

aqi-prediction crop crop-recommendation crop-yield-prediction rainfall-prediction rec streamlit streamlit-webapp

Last synced: 3 months ago
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Explore our tools to make informed agricultural decisions.

• Host: GitHub
• URL: https://github.com/kanchanraiii/krishi-mitr
• Owner: kanchanraiii
• Created: 2024-06-28T12:39:51.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-08-29T05:55:52.000Z (6 months ago)
• Last Synced: 2024-08-29T18:33:11.063Z (5 months ago)
• Topics: aqi-prediction, crop, crop-recommendation, crop-yield-prediction, rainfall-prediction, rec, streamlit, streamlit-webapp
• Language: Jupyter Notebook
• Homepage: https://krishi-mitr.streamlit.app/
• Size: 29 MB
• Stars: 5
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Krishi Mitr




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.


Project Screenshots:




  

🧐 Features


Here're some of the project's features:

*   Rainfall Prediction

*   Crop Recommendation

*   Crop Yield Prediction

*   AQI Prediction

*   Streamlit Webapp

*   easy to use

*   deployed

  

  

💻 Built with


Technologies used in the project:

*   Python

*   Streamlit

*   SciKit Learn

*   Pandas

*   Numpy

*   Jupyter Notebook

💖Click to view the deployed project


https://krishi-mitr.streamlit.app/