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  Published Paper Details:

  Paper Title

COVID-19 TRACK APPLICATION USING FLUTTER

  Authors

  Sanju Kumar Sahu,  M.L. Sharma,  3Krishna Chandra Tripathi

  Keywords

COVID-19, mobile application, Artificial Intelligence-Machine Learning (AI-ML) tool, chat-bot, geo-location.

  Abstract


: Every nation is now trying to deploy an interactive platform for creating public awareness and share the necessary information related to COVID-19. Keeping all of these in mind, authors have deployed an interactive cross-platform (web/mobile) application GO-COVID for the ease of the users, specifically in India. This dashboard is featured with all the real-time attributes regarding the novel coronavirus disease and its measures and controls. The system deliberately aims to maintain the digital well-being of the society, create public awareness, and not create any panic situation among the individuals of the society. The application uses modern AI-ML tools to analyze the disease among the individuals with the help of an informative test and has also deployed a chatbot for user ease of interaction. The application also collects the geo-location and other necessary historical data to ensure your safety and distance from the affected personals. The same is also used to backtrack the ones affected and perform tests. All of these features enable the app to compete with the pandemic in this modern world

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106317

  Paper ID - 208619

  Page Number(s) - c602-c606

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sanju Kumar Sahu,  M.L. Sharma,  3Krishna Chandra Tripathi,   "COVID-19 TRACK APPLICATION USING FLUTTER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.c602-c606, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106317.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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