Covid-19 Pandemic Predictive System Using Machine Learning

Corona -virus disease commonly known as COVID-19 that outbreak in late December 2019 is continuously spreading worldwide and infecting people due to which it's required to analysis research on the expansion of CODID-19.In this research, a more improved model. HYBRID ARTIFICAL MODEL (AI) is suggested for prediction. In conventional model, it treats similar infection rate for all people, an improvised ISI (improved susceptible–infected) is suggested to gauge the infection rate to calculate the development mode. We have build the hybrid AI model by using natural language processing(NLP) model and long short-term memory(LSTM) network modules inside ISI module .According to the attentive results, it represents more infections from three to eight days .In comparison to both the models , our developed new AI model can remarkably reduces the prediction result's error and prevail the mean percentage errors with different percentage for the six consecutive days in different countries .For example-China , Italy, France, etc.