S

Swasthyam

A cross platform flutter application for detecting the probability of diseases in patients by using Machine Learning on the test results and symptoms.

S

Swasthyam

A cross platform flutter application for detecting the probability of diseases in patients by using Machine Learning on the test results and symptoms.

The problem Swasthyam solves

The architecture of our healthcare ecosystem is divided into three layers:-

  1. Patient going to doctor with symptoms and doctor recommending tests
  2. Patient coming back with test results and doctor conforming disease
  3. Doctor starting treatment

Our app will solve the first two layers and make healthcare system more fast and efficient.
We have done:-
1.) predicting disease from symptoms in our app
2.) recommending test for those diseases in app
3.) Developing AI based deep learning Algorithm for giving probability of having that disease
4.) integrating that Deep Learning algo in our app with Flask API framework

Challenges we ran into

Following are the challenges we faced during the development of this project:

  1. Calculating the accuracy of deep learning models and selecting the best one out of many for deployment.
  2. Selecting Flask as suitable deployment framework and deploying the machine learning models in it.
  3. Using the Flask API endpoint in flutter application.

Discussion