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COVID 19 Tracker Web System

EasyChair Preprint no. 5587

6 pagesDate: May 23, 2021


COVID-19 tracker is a React based responsive web application which provides you the real time data of current COVID-19 cases all across the world. It will show you how many cases are recently recorded and how many recovered as well as the total cases being recordedin a particular country. The app will have a leaflet package of React which will provide us the interactive map thus we will try to make it different and more interactive than other trackers present out there. These maps will enable the user to see real time data of total cases in any given country. The easy to use GUI clubbed with the interactive maps and graphs will help us to provide the vital information that the users need inorder to stay updated with the COVID-19 situation that is rocking the world and subsequently affecting the economy at a global scale. The web application will be accessible through desktop or mobile to provide the userwith ease of access. We aim to provide accurate data with graphs. Our aim is to alleviate some stress from the user who feels anxious about being uninformed about what might be happening without them. Our app also serves as a learning opportunity for the members along with a great incentive to help people. Therefore, CoronaTracker was born as the online platform that provides latest and reliable news development, as well as statistics and analysis on COVID-19. This paper is done by the research team in the CoronaTracker community and aims to predict and forecast COVID19 cases, deaths, and recoveries through predictive.

Keyphrases: GUI graph, maps, real-time data

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Anubhav Soni and Navdeep Singh and Madhav Kumar},
  title = {COVID 19 Tracker Web System},
  howpublished = {EasyChair Preprint no. 5587},

  year = {EasyChair, 2021}}
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