COVID-19 Outbreak India Conditions Analysis and Prediction Using Machine Learning

Abstract

All administrative domains of the individual nations are extremely concerned about the COVID-19 epidemic that is sweeping the globe. India has slowed down its rate of expansion by putting in place certain stringent regulations in an effort to slow the spread of the virus. Using the data supplied by the Ministry of Health and Family Welfare, Government of India, we may assess the various conditions in these. The dataset includes details on daily COVID-19 instances, State population levels and the frequency of COVID-19 testing, and how many beds are in hospitals in each state. The most recent details on pandemic circumstances are provided by the data, which is publicly available for analysis on kaggle or github. Several epidemic prediction models, The number of hospital beds in each state and the associated data are openly accessible on Kaggle or GitHub so that different researchers may assess them and offer the most recent data on pandemic conditions. Officials from all across the globe use a variety of COVID-19 outbreak prediction models to make well-informed decisions and implement efficient control measures. With the use of these models, we can also calculate the disease's growth factor in India and its future spread for 15 days.