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AgroAI

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The project is a web app intended to help farmers with different variations of ML models. This project uses Django w/ Django REST Framework for the back-end and ReactJS for the front-end.

Features:

This system has a model integrated with the web app which can predict crop yield based on location and season of the farm.

Models are trained on this dataset by using sci-kit learn. The model suffers from inaccuracy due to inconsistent data.

To run the project:

Frontend:

npm start 

Backend:

python manage.py runserver

For creating a super user:

python manage.py createsuper user

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The project is a web app intended to help farmers with different variations of ML models.

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