 This paper proposes a new model called RNN conres, which uses residual neural networks, resnets, combined with convolutional neural networks, CNNs. This model is able to achieve higher accuracy in predicting the spread of COVID-19 compared to existing state-of-the-art, SOTA, models. This article was authored by Rakesh Kumar, Meenu Gupta, Aman Agarwal, and others.