Skip to content

COVIDvisor aims to provide an accurate pre-screening and initial diagnosis service for users with common illnesses in order to minimise unnecessary social contacts and alleviate the pressure of public hospitals.

Notifications You must be signed in to change notification settings

Andrew-FungKinHo/cityHack

Repository files navigation

cityHack Team Liver Exploder

Mission

To provide an accurate pre-screening and initial diagnosis service for users with common illnesses in order to minimise unnecessary social contacts and alleviate the pressure of public hospitals.

COVIDvisor

UI/UX Interactive Link: https://www.figma.com/file/XxVrbwPuStpTw1qrqeK5wV/Untitled?node-id=33%3A29

Here is a demonstration of a machine learning web application that provides users with an accurate preliminary diagnosis given their input of symptoms currently experienced using Streamlit API and Scikit-learn library

Fill in the test according to the symptoms you experienced. Test Page

Finishing the test and receive instant feedback Test Completion Page

Get the detailed report and follow up guidance depending on your conditions Result Page

Installation

pip install streamlit pip install scikit-learn

Usage

Run streamlit run covidivisor.py

About

COVIDvisor aims to provide an accurate pre-screening and initial diagnosis service for users with common illnesses in order to minimise unnecessary social contacts and alleviate the pressure of public hospitals.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages