Predicting reduction of COVID-19 cases in India Using Machine Learning Algorithm

ABSTRACT

The coronavirus disease (later renamed as COVID-19) originated in Wuhan, China and now has spread throughout the world. Many methods have been implemented so as to bring the condition under control, however it has been a difficult task to predict when the number of cases will start decreasing. Hence, we are trying to predict, using the Susceptible-Exposed-Infectious-Removed (SEIR) model, when the number of cases in India will start decreasing. The implementation will start on district/city level, then to the state level and then the country level. We are going to develop a WebApp, which will maintain a dashboard of the active cases, cured cases, and the death cases daily of India. We are trying to train the model on the data from a city/country where there was a significant decrease in the cases, to check our model's accuracy. We are expecting to get a probable period of time when the cases will decrease on an average all across India.