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It has become more crucial to use computational methods in the discovery and development of new drug-like molecules for the treatment of diseases. People who have recently become infected are at a significant risk for mortality or serious sequel from these infections. Researchers have access to a vast array of chemical, biological, and clinical data. As a result, AI based machine learning algorithms can be used to discover connections between specific chemical data properties physiological activity of the molecules. These data may also be used to develop models predicting how a particular virus genotype relates to a patient clinical response to treatment. In this paper, AI based machine learning techniques have been used in antiviral research. Virus-host interactions, medication resistance prediction, and the development of new antiviral medicines and vaccines can all benefit from machine learning technologies. Coronaviruses are the most important consideration in the present machine learning evaluation against antiviral research that shows an accurate analysis of 98% that is higher than other methods.