Health-Disease-Prediction

This is a 2021 BTech final year college project developed under the guidance of our mentor

Dr. Prashant Kumar - Department of CSE, NIT Jalandhar

Contributors :

Gyanesh Kumar 17103033

Sonal Keshari 17103083

OPEN SOURCE LICENSE - Apache License 2.0

Project Description :

This project aims to predict whether a particular person has some risk of heart problem or not. It uses An Android mobile app to interact with the end users and predicts result based on predefined characteristics / attributes.

Note -

• To use the app you just have to install the apk, the Backend and the ML Model are already deployed and configured on Heroku
• Before using the app first time, please open both the link once, as heroku shuts down the server if they are idle for long time
• Credentials to access Admin Panel EMAIL - admin@hdp.com PASSWORD - password

Software Workflow :

• Android App Calls APIs of Python Flask Rest API for predicting the results
• Flask API internally uses our ML model to predict result
• For other Rest APIs Android App calls the NodeJs Backend
• Data on App can be added by accessing the admin panel of NodeJs Admin
• NodeJs Backend is connected to PostgreSQL Database

Working Project Description :

Android App

Supported Languages

• To increase the accessibility of our app we have given the support for English as well as Hindi.
• During the first usage of the app or from clicking the globe icon we can launch the “Choose Language” screen and change the preferred language.

Home Screen

• On the home screen, a brief is shown about the app and the motivation behind it.
• Click the “TAKE THE TEST NOW” button launches the form screen for heart disease prediction
  
  
  
  

Prediction Response

Admin Panel

Train/Untrain ML Model

For More Detailed Guide - READ OUR REPORT