Project Proposal:- The current destructive pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first reported in Wuhan, China, in December 2019. The outbreak has affected millions of people around the world and the number of infections and mortalities has been growing at an alarming rate. In such a situation, forecasting and proper study of the pattern of disease spread can inspire design better strategies to make more efficient decisions. Moreover, such studies play an important role in achieving accurate predictions. Machine learning has numerous tools that can be used for visualization and prediction, and nowadays it is used worldwide for study of the pattern of COVID-19 spread, e.g. One of the main focus of the study in this project is to use machine learning techniques to analyze and visualize the spreading of the virus country-wise as well as globally during a specific period of time by considering confirmed cases, recovered cases and fatalities. The global impact of the outbreak on various aspects of life has been the focus of many studies, e.g. On the other hand, a pandemic can be forecast by considering a variety of parameters such as the impact of environmental factors, quarantine, age, gender and a lot more. The forecasting accuracy depends on the availability of proper data to base its predictions and provide an estimate of uncertainty. A challenge to use machine learning techniques for the current outbreak is that the datasets are not yet standardized by any standardization organization and the statistical anomalies are not considered. Also, the appropriate selection of parameters and the selection of the best machine learning model for prediction are other challenges involved in training a model. In this project, we are going to perform linear regression, Support vector machine, Multilayer perceptron, Ensemble methods, Time series with ARIMA and Prophet etc., on the Johns Hopkins University’s COVID-19 data to anticipate the future effects of COVID-19 pandemic in India and some other countries. Moreover, we are going to study the impact of some parameters such as geographic conditions, economic statistics, population statistics, life expectancy, etc. in prediction of COVID-19 spread