CropForesight BackEnd

The repository for the backend of the Crop Foresight project made using Pydantic and FastAPI.

By using various parameters like Nitrogen, Phosphorous, Potassium, rainfall, humidity, temperature and pH it predicts the most optimal crop for the land from among 22 crops ranging from rice or apples to cotton or lentils using a Gaussian Naive Bayes model

Technologies Used
Running the Project Locally
Contributing
License
Deployment

Technologies Used:

Runnning the Project Locally:

Clone the backend repository:

git clone https://github.com/abhijeet141/CropForesight_BackEnd.git

Change to the CropForesight_BackEnd directory:

cd CropForesight_BackEnd

Install the required dependencies:

pip install -r requirements.txt

Run the backend:

uvicorn main:app --reload

Open the website in your browser at http://localhost:3000.

Contributing

Refer to the contribution guidelines here

License

The entire project is licensed under the MIT License

Deployment

You can access the deployed frontend at:

abhijeet141/CropForesight_BackEnd