COVID-19 Data Analysis and Prediction Using (Machine Learning) and Vaccination Update of India

8 Pages Posted: 17 May 2021

See all articles by Sanjay Kumar

Sanjay Kumar

NBN Sinhgad School of Engineering

Sumant Kumar

NBN Sinhgad School of Engineering

Aditya Singh

NBN Sinhgad School of Engineering

Anand Raj

NBN Sinhgad School of Engineering

Date Written: May 17, 2021

Abstract

Coronavirus disease 2019 (covid-19), a highly infectious and transmitted disease that was first discovered in Wuhan city in China in December 2019.For the first time, it was reported in Kerala in India, On January 27, 2020, a 20 year old female was admitted in general hospital. Our objective is to predict the total number of cases, retrieved cases and deaths across a given set of data based on the concept of machine learning. The Indian government is running a vaccination drive and every individual above 18 years of age will be eligible to get vaccinated. Our project shows vaccination details, wise state through an attractive graphic model.

Keywords: COVID-19, Machine Learning, Data Analysis, Vaccination Update Of India

Suggested Citation

Kumar, Sanjay and Kumar, Sumant and Singh, Aditya and Raj, Anand, COVID-19 Data Analysis and Prediction Using (Machine Learning) and Vaccination Update of India (May 17, 2021). Available at SSRN: https://ssrn.com/abstract=3847564 or http://dx.doi.org/10.2139/ssrn.3847564

Sanjay Kumar

NBN Sinhgad School of Engineering ( email )

India

Sumant Kumar (Contact Author)

NBN Sinhgad School of Engineering ( email )

India
7773912629 (Phone)

Aditya Singh

NBN Sinhgad School of Engineering ( email )

India

Anand Raj

NBN Sinhgad School of Engineering ( email )

India

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