ABSTRACT
The current century has astonished us in transiting through the gravest epochs of human tragedy. COVID-19 is a wakeup call for the humanity. This present scenario challenges the demand of a technology that can analyze the entire world’s fatality rate as well as the situation in our country India and forecast the next few years so that the human lives can take necessary steps to overcome from the prolonged pain. So our objective is to show how machine learning has added its great impact in future forecasting and analyzing the challenges regarding the current pandemic. Machine learning is a subset of artificial intelligence where we are acknowledging the different figured data from the repository and further the information technology system helps to predict the spread of the disease in future by implementing different models and algorithms. Our research methodology mostly emphasizes on few standard forecasting models like linear regression (LR), support vector machine (SVM), time series analysis (we used the Holt’s linear model) and ARIMA model and SARIMA model. Predictions are done based upon the confirmed cases, and it has been found that time series model is providing the best result. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.