This application predicts the heart diseases of the patients. Patients who have any kind of illness in heart can submit the their some medical details on this application and our machine learning models will predict the result. If they have heart disease or not. This is the application built with 5 different machine learning models and deployed to App Engine. We have persistent models on App Engine and Flask API is used to server the content to frontend.
Current Directory is Frontend and Backend codes and models can be found within backend directory. Frontend is build with Angular.
Make sure that backend is working fine then use frontend.
We have deployed our Backend on App Engine and Frontend on Firebase hosting. Visit Live App
Run ng serve for a dev server. Navigate to http://localhost:4200/. The app will automatically reload if you change any of the source files.
Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.
Run ng build to build the project. The build artifacts will be stored in the dist/ directory. Use the --prod flag for a production build.
Run ng test to execute the unit tests via Karma.
Run ng e2e to execute the end-to-end tests via Protractor.
To get more help on the Angular CLI use ng help or go check out the Angular CLI README.