Onsite Health Diagnostic (OHD) is the web application that allows 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
- Pneumonia : Dataset
- Brain tumour : Dataset
- Diabetes : Dataset
- Heart disease : Dataset
- Breast Cancer : Dataset
- Malaria-Detection : - Dataset
git clone [email protected]: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
Rohan Patankar - Machine Learning & Deployment
Apsara Budhathoki - Web Design & Development
Nishant Banjade - Machine Learning & Deployment
Sorry to mention that this is our college project and we are not able to accept any PR except the team members. If you want to contribute , please raise the issue mentioning the bugs.
As soon as the college project evaluation will be completed, we will accept all the PRs and give credit to every contributor.