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8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022 ; : 1625-1629, 2022.
Article in English | Scopus | ID: covidwho-1922646

ABSTRACT

Currently, the world is facing a pandemic situation due to the outbreak of the most infectious newly discovered disease called Covid-19. The outbreak of this disease happened at the least expected time and is holding a large impression on our lives. This disease-causing virus Corona has the property of doubling each day. Being a contagious disease this virus spreads through the droplets of the infected person. As a consequence, the infected person acts as a carrier and contaminates the other. Due to the doubling property, theinfected people's growth rises exponentially. Henceforth we need a strong model that could predict the growth of this virus to keep it at the handle. Our project aims at building a machine learning model that could predict the spread of this virus in the next seven days. For forecasting mechanism, a module called FbProphet is used which is exclusive for time series prediction. © 2022 IEEE.

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