Effective Algorithm for Identification of Covid Infected People Using Machine Learning

Abstract

Our ManKind has Observed various pandemics throughout history where some of them were more disastrous than the others to humans. We are observing a very tough time once again fighting an invisible enemy the novel COVID – 19 coronavirus. Many have lost their lives and their normal lifestyle, due to its rapid spreads across the world because of its unpredictability at the early stages. It has been observed that the Deep Learning Algorithms play an efficient role in predicting the probability that a person gets infected by the virus or not by using the data of the user so that precaution can be taken at the early stage before spreading. The 10000 datasets have been used to train this model which has been collected from the Kaggle website. The deep learning model has been created with different hidden layers besides the best optimization techniques to make the model learn from the data more efficiently. The proposed predicting technique provides 93 % accuracy in coronavirus Prediction.