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Covid Tracker Application

EasyChair Preprint 5046

14 pagesDate: February 26, 2021

Abstract

Coivid-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 recorded in 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 in order 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 user with ease of access. We aim to provide accurate data. 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.

Keyphrases: COVID TRACKER, Covid Data, user friendly GUI

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:5046,
  author    = {Prashant Singh and Ayush Patel and Humaira Hossain},
  title     = {Covid Tracker Application},
  howpublished = {EasyChair Preprint 5046},
  year      = {EasyChair, 2021}}
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