Abstract
This project attempts to use a modified SEIR model and recursive neuron networks to predict the growth/decline of Covid-19 cases under the effects of quarantine and vaccination in the United States. I hope this model will explore and address some of the seasonality and stochastic infection parameters and nonlinear dynamics including chaos are found in the prediction system.