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A simple Django web application using a Naive Bayes Classifier in the backend to predict a disease form the symptoms entered by the user

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disease-predictor

A simple Django web application using a Naive Bayes Classifier in the backend to predict a disease form the symptoms entered by the user

If you don't have Django installed on your system, you can install it in a virtual environment using pipenv:

In Windows:

  • Open cmd

  • Type and Enter: pip install pipenv

  • Make a folder on your Desktop (say 'Project')

  • Type and run these commands: cd Desktop/Project pipenv install django

  • Django will be installed in a virtual environment.

  • You will see two files : Pipfile and Pipfile.lock in the above directory

  • Make sure you are in the above directory (i.e Desktop/Project) to activate the virtual environment.Run the command: pipenv shell pip install scikit-learn

  • After cloning the disease-predictor repository in the local system, navigate to the directory where manage.py is present and run: python manage.py runserver

  • The development server will be started and link of the web application will be found at the bottom of the terminal viz: http://127.0.0.1:8000/

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A simple Django web application using a Naive Bayes Classifier in the backend to predict a disease form the symptoms entered by the user

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