Use of Data Science during Worldwide Pandemic : An Efficient and Reliable System to Support Decision Making in Different Sectors

Authors

  • Tithi Choudhary  Information Technology, B.E, AISSMS’s Institute of Information Technology, Pune, Maharashtra, India
  • Muskan Shaikh  Information Technology, B.E, AISSMS’s Institute of Information Technology, Pune, Maharashtra, India
  • Shreya Khedekar  Information Technology, B.E, AISSMS’s Institute of Information Technology, Pune, Maharashtra, India
  • Richa Sirwani  Information Technology, B.E, AISSMS’s Institute of Information Technology, Pune, Maharashtra, India
  • Dr. Meenakshi A. Thalor  Information Technology, HOD, AISSMS’s Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/IJSRST21825

Keywords:

Data Mining, Data Analytics, Data Visualization and Decision Making, Automated Machine Learning, Prediction, UI, UX.

Abstract

Any calamities or emergency situations have created drastic and everlasting impacts on mankind since history. Such situations need to be managed in an efficient and effective manner. There are countries of the world where the use of evolving technology is not a part of the management system. In this paper using a combination of technologies and tools we will provide a better alternative solution to the intuitive decisions thus making systems more reliable. Data Mining, Data Analytics, Data Visualization and Decision making have key applications demonstrated in this paper. Upon the choice of User Selections, this system will look into the number of deaths and recoveries that have occurred everyday from the start of spread of the COVID-19. Based on this information, the goal will be to analyze and formulate a death and recovery analysis, which will in turn help us in understanding the effect of corona virus on different work sectors, which in our case will be the Business sector of the country. The system will also focus on forecasting the GDP based on the past datasets of the country. Different visualization methods will be shown according to the Automated Machine learning system that will generate statistical depiction from the inflow of dynamic data. These info graphic visuals will provide a better understanding to the user as to how the situation will affect her own sector/domain as well as current stance of the GDP and enhance the overall User Experience (UX) of the user.

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International Journal of Scientific Research in Science and Technology

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Published

0000-00-00

Issue

Volume 8, Issue 2, March-April-2021

Section

Research Articles

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How to Cite

[1]
Tithi Choudhary, Muskan Shaikh, Shreya Khedekar, Richa Sirwani, Dr. Meenakshi A. Thalor, " Use of Data Science during Worldwide Pandemic : An Efficient and Reliable System to Support Decision Making in Different Sectors, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 8, Issue 2, pp.17-27, March-April-2021. Available at doi : https://doi.org/10.32628/IJSRST21825