COVID-19 CASES PREDICTION FOR NEXT 30 DAYS USING MACHINE LEARNING
This project deals with the analysis, or prediction of pacing COVID cases by using machine learning algorithms. The goal is to provide the users with the information about cases in and around withthe help of a web application.so whenever someone needs to travel, they would know-how safe or unsafe the desired place could possibly be to make a way to dexterity.The spread of covid-19 in the whole world has put the humanity at risk. the resources of some of the largest economies are stressed out due to the large Infectivity and transmissibility of this disease. Due to the growing magnitude of number of cases and its subsequent stress on the administration and health professionals, sum prediction methods would be required to predict the number of cases in future.The highly infectious corona virus disease covid-19 was first detected in Wuhan, China in December 2019 and subsequently spread to 212 countries and Territories around the world, infecting millions of people.in India, a large country about 1.3 Billion people, the disease was first detected on January 30,2020, in a student returning from Wuhan .the total number of confirmed infections in India.
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