Development of medical assistance systems by cloud computing networks with Covid-19 datasets

COVID-19 Disease has been declared a pandemic by the World Health Organization (WHO) within 10 million cases and 503862 neglected lands as indicated by the WHO test on 30 June 2020. Coronavirus is caused by a major respiratory problem called Corona 2 (SARS-CoV). -2) and was reported by the WHO on March 11, 2020. So, for medical assistance, we have chosen cloud computing networks rather than IoT and Distributed parallel networks. Because of the present scenario Corona Virus that causes Covid’19 is mainly transmitted through droplets generated when an infected person coughs, sneezes, or exhales. The cough droplets are very much high and they were too heavy to droop in the atmosphere and quickly fall on floors or surfaces. We are using Google’s cloud platform because it is more scalable and reliable. The services promote the clients to compute, store data, to test their respective applications. So, we are collecting covid-19 datasets from Github data sources and we are going to use Conventional Neural networks (CNN) and models to predict and analyze covid-19 cases around the world.