Kirti-kn / Disease-Prediciton

It is a ML project which predicts minor disease on the basis of symptoms given by the user. Flask is used for the backend of this project.

Disease-Prediciton

• It is a flask and Machine learning project. The concept is predicting the disease on the basis of disease choosed by the patient. As it a predicting the class of given input and classifying it based on some features and attributes (probabilistic classification algorithm), Gaussian Naive Bayes model is used.

Front-end

• Front-end is made using HTML and CSS. HTML files are saved in templates directory and CSS file is name as style.css and saved in static file.
• There are two web pages, Index.html(for the main page) and result.html(another page for displaying the output/result).

Back-end

• Flask is used for backend.
• app.py is the main file where all the functions are declared and defined.

Model

• Gaussian NB is used as it is a probabilistic classification algorithm.
• The data is already splited for training and testing and saved as Training.csv and Testing.csv respectively.
• The model is saved in model.py
• Model is used in app.py with the help of pickle module.

What can be improved?

• The front-end design.
• dropdown or dropdown with search bar can be added while submitting symptoms.

Any other improvement, changes, errors, bug reporting/suggestions are heartly welcome. Do share your suggestions.