Onsite Health Diagnostic (OHD)

Onsite Health Diagnostic (OHD) is the web application that allow users to predict whether the user has been infected with a menacing disease or not. These diseases can be very dangerous to health if they are not treated properly. The main objective of OHD is to help people predict the disease in case of absence of medical professionals, strikes or any related uncertainties.

Official Documentation of the project

• Documentation

Table Of Contents

• Datasets
• Clone
• Developers
• Licence
• Note

Datasets

• Pneumonia : Dataset
• Brain tumour : Dataset
• Diabetes : Dataset
• Heart disease : Dataset
• Breast Cancer : Dataset
• Malaria-Detection : - Dataset

Clone

git clone git@github.com:Nix-code/Onsite-Health-Diagnostic-OHD.git

• To run on your local machine, make sure you have installed every requirements.

$ export FLASK_APP=app
$ flask run
 * Running on http://127.0.0.1:5000/

• If you are in a Linux Distribution

    $ python3 app.py

Developers

Rohan Patankar - Machine Learning & Deployment

Apsara Budhathoki - Web Design & Development

Nishant Banjade - Machine Learning & Deployment

Licence

MIT Licence

Special Thanks to Late. Binit Ghimire AKA Internet Hero for giving idea for Documentation Building