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In the global pandemic of covid-19, I and my teammate developed this web app which able to detect a not COVID and COVID patient with the help of chest x-rays and highlights the infected area also. The Application developed using Django as its backend, MySQL as database with HTML, CSS and JS as basic frontend technologies.

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codaks/Covid-19_Monitor

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CX-19, Smart Way to Monitor Covid 19 Patients

Introduction

In the global pandemic of covid-19, I and my teammate developed this web app which able to detect Covid positive patient with the help of chest x-rays and highlights the Mucus plugs. The Application developed using Django as its backend, MySQL as database with HTML, CSS and JS as basic frontend technologies.

dashboard test1

Functions

  • Used only by Lab technician or the authorized person.
  • Single Centrallized Data
  • Technologies like Deep Learning and AI is uesd so that x_ray can be classified and detection of infected area automatically
  • Live Reords with filters
  • Scalable and Roboust because of backend like Django

Tools And Languages

  • Django
  • Python
  • HTML
  • CSS
  • Javascript
  • SCSS

Libraries

  • Django
  • Numpy
  • Mask RCNN
  • Keras

Runing The Project

python manage.py runserver OR python manage.py runserver PORT_NUMBER

About

In the global pandemic of covid-19, I and my teammate developed this web app which able to detect a not COVID and COVID patient with the help of chest x-rays and highlights the infected area also. The Application developed using Django as its backend, MySQL as database with HTML, CSS and JS as basic frontend technologies.

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