Abstract: During a pandemic like COVID-19, real-time automated virus-monitoring and predictive models are crucial. The solution of this disclosure is through the development of a novel systems approach of implementing AI into visual cameras for visible characteristics such as facial and physical recognition and thermal imaging and other wavelength capture sensors such as thermal body characteristics which are then integrated with community mapping to resolve issues and predict trends before they happen. The system finds the distance between groups of people in classrooms, buildings, or other physical structures to locate pinch and possible virus contagion points in remote areas. Forehead to forehead measurement is one method as a novel approach to capture distance quickly. This is integrated into a distance statistical metric such as the Manhattan Distance Metric model to exemplify any two people who are less than 6 feet away and community mapping to identify and predict areas of concern.