An Effective Deep Learning Prediction Model for the COVID-19 Pandemic in India

The 2019 worldwide corona-virus disease pandemic (COVID-19) is becoming worse. It is an inflammatory disorder brought on by a unique virus, and symptoms including fever, coughing up blood, colds, and breathing problems may be quite deadly. The COVID-19 data set, which covers the months of January and August 2020, is used in this study's Long-Short- Term Memory (LSTM) Networks Model to generate predictions about the future. Long short-term memory (LSTM) networks are well-liked because they can be employed with deep learning and artificial intelligence. The order of the data may be learned from and predicted by this model. The number of daily confirmed cases, daily dead cases, daily recovered patients, and other statistics may all be predicted using the COVID-19 data for India. This prediction method can predict new cases, recoveries, and deceased patients during the next 30 days. According to the findings, it can be used to handle the COVID- 19 pandemic situation that is now in effect.