Covid-19 Disease started at the End of 2019 in china Wuhan city and Then spread in the whole world within three to four-month. The Coronavirus Disease-2019 (COVID-19) badly impacts the health and well-being of the Indians and the global population. The number of positive cases of Covid-19 on a daily basis is increasing and it’s created a lot of stress on governing bodies across the globe and they are finding it difficult to tackle the situation so they can handle the situation effectively. For solving this problem. We developed a COVID-19 Prediction And Analysis Of Spreading Rate system for every state and union territory of India. The purpose of the prediction model is to forecast the count of new cases likely to arise for successive 5 days using RNN and LSTM machine learning algorithms. A set of models for predicting the rise in new cases, having an average accuracy of 87.9% some time it will go above 90%. It was developed for every state and union territory of India. The highest accuracy of 93.93% was achieved for some states because of the availability of sufficient Data. For Eg. Maharashtra, Delhi. A data-driven approach with higher accuracy as here are often very useful for a proactive response from the govt and citizens. Through this project. we want to achieve our goal. Like 1.Analyzing the Spreading rate 2.Analyzing the recovery rate and mortality rate.3.Predicting future spreading rate for next 5 successive day.