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Disease Prediction Website

For HackHub 2022 we chose the track of Health Care and we decided to work on the streams of Machine Learning/Data Science and Web Development. This website is created to help medical workers and health professionals accurately predict if a patient has a high or low chance of contracting either Diabetes or Heart Disease. This can greatly help doctors and medical professionals as they can easily recommend/prescribe medicines and diets accordingly. It also helps the patient be more aware of their health condition and can motivate them to lead a healthy lifestyle. Doing so can be a great benefit for the well-being of our society.

As for the project at hand, we have created a user-friendly design and have successfully implemented the design through the means of HTML, CSS and Javascript. We have used a One Page Website Design, where we have showcased our use of web development and data science.

We have created two web applications through the means of Streamlit for our Machine Learning/Data Science pages, where the medical professional can enter the data from the patients' lab report and obtain the prediction given by the algorithm. This streamlit web application has been deployed on Heroku, which can be accessed from our Website.

How to use the Disease Prediction Website:

Deployment Link: http://blackjacks.zuvatech.com/

  1. Scroll to Services page / Click on Services in Navigation Bar
  2. Click on Diabetes Prediction or Heart Disease Prediction Link
  3. Enter the data from the medical report into the sliders present on the left side the web application
  4. Scroll down to see the Test Accuracy and Final Prediction for the respective patient.

Deployment Link: http://blackjacks.zuvatech.com/

Contributors:

  1. K S Vikash
  2. Ravikiran V
  3. Siddharth Ramanathan
  4. Bharath Kumar
  5. Vijayendra Hanumara

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