This repository contains for a simple flask application that uses ML algorithm to classify whether a person has cardiac disease or not.
Dataset can be collected from UCL ML Repository.
The Data has to preprocessed extensively. As some information cannot be easily inputted some of the columns were dropped.
Various ML algorithms were used for training. Currently SVM is used in this application. The model performs moderately with around 72 % accuracy.
A Simple Flask application was created with a UI so as collect the response from the user. Once collected it goes into the app.py file through which the ML algorithm will predict whether the person is having Cardiac disease or not.
MongoDB is the backend here. All the data gets stored into Mongo Cluster in the cloud. In this way the data can used for retraining and other evaluation purpose.
The application was deployed in Heroku. However taken down now due to some updates in their server.
