The recent pandemic, covid-19 has largely affected people's lives, health, and productivity. The first case of Covid-19 was recorded on December 31, 2019, in Wuhan, China. Since then, the number of cases has increased exponentially, and subsequently, numerous precautions have been taken to prevent and cure the virus. By May 26, 2021, totally, 168 million cases were reported worldwide, with 3.49 million deaths, and the pandemic is currently underway, with people continuing to get affected and fighting for their lives from this deadly virus. The World Health Organization (WHO) has also released various precautions and vaccines to combat the pandemic, but these are insufficient to reduce the number of infected cases or save people's lives. The proposed research study discusses about the utilization of artificial intelligence (AI), machine learning (ML), and data science techniques for gaining a better understanding of covid-19 virus. This technological advancement can easily make proper judgments about covid-19, as well as the predictions on confirmed & recovered cases and deaths were made by using this technology. The datasets also include previous and current information about covid-19. The proposed research study also discusses about a tool called "Prophet." Prophet is a Facebook open-source tool, which uses the Sklearn model API. The proposed study initially creates a prophet instance and then use its fit and predict methods.
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