IJBTT

A Survey on Prevention from Emerging Viruses
	© 2021 by IJCTT Journal
	Volume-69 Issue-4
	Year of Publication : 2021
	Authors : R Sanjay, Saarang G Rajan, Supraja C,Veena H, Dr Natesh M, Prof Vidya N L
	DOI :  10.14445/22312803/IJCTT-V69I4P110

How to Cite?

R Sanjay, Saarang G Rajan, Supraja C,Veena H, Dr Natesh M, Prof Vidya N L, "A Survey on Prevention from Emerging Viruses," International Journal of Computer Trends and Technology, vol. 69, no. 4, pp. 54-62, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I4P110

Abstract
A small collection of genetic code, either DNA or RNA is known as virus, which will be surrounded by a protein coat. It cannot replicate alone. The data of the worldwide pandemic corona virus disease obtained from the World Health Organization made its impact to the world and has now infected millions of people across the world. Considering these situations, In the absence of highly effective drugs, vaccines many measures are used to manage the infection, the only feasible way to prevent from COVID-19 is to maintain Social Distance and by wearing Face Mask. Avoiding social contact might result in the reduction of spread of virus among people. The demand for travelling is expected to reduce and less usage of public transportation. Social distancing limits physical contact and might result in social isolation. It also assists in bringing down the interactions among people to slow down the spread of virus. To create safe environment around us, we propose a Real Time System which determine both social or physical distancing and protective face masks by deploying the model using raspberry pi in public places that can recognize the violations and monitor activity via cameras with the help of Artificial Intelligence and Machine Learning Algorithms

Keywords
Virus, COVID-19, Social Distancing, WHO, CDC, Face Mask, Artificial Intelligence, Machine Learning

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