The novel coronavirus has been declared a worldwide pandemic. The pandemic has unleashed health as well as economic devastation across the world. In view of this, various governments, researchers and agencies are trying to work towards solutions to control the spread of the virus. There are many studies that have been initiated that consider the various parameters that contribute to the spread of the virus. We present a model to predict the survival rate of Covid19 infected patients. The study takes into consideration death rate (normal) and Covid infection death rate in India. Other factors considered are the number of infections and active infection numbers. We also incorporate a ‘learning module’ to learn from the observed error rate. We compute the moving average of error which is then deployed to minimise projection error in the model. The factor obtained from the learning is deployed into the survival rate computation to achieve best results.