The world is dealing with an imperceptible, fatal enemy and enforcing arduous efforts to cope up with menace due to
COVID-19. This worldwide health crisis posed a unique challenge in tracking the patients, building dedicated hospitals,
purchasing PPE kits, ventilators, and medicines. In this research, the study on the actual situation in India was conducted with
the available datasets. In addition, how this pandemic condition would increase in the forthcoming days is predicted through a
widely popular approach called Forecasting. Forecasting is a way to predict what is going to occur in the future by taking into
consideration the events in the previous and current models. The most prominent forecasting algorithm is deployed on the
COVID-19 dataset to forecast how the cases will vigorously increase till November 2020. Moreover, these algorithms are
evaluated using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE) and Mean Absolute
Percentage Error (MAPE).
