Postponavirus Prototype: Using Machine Learning to discourage disease transmission via face-touching

I'm building a project to try to improve public health and the spread of pandemic diseases through the use of machine learning and behavior modification using operant conditioning. It identifies common face-touching gestures and plays a sound when it detects certain unwanted behaviors are detected. This project seeks to help users practice behaviors that limit the transmission of pathogens that occur via hand-to-face contact. Face touching (particularly of the mouth, nose, and eyes) can lead to an increased probability of infection from vaious microorganisms. By using trained pose-detection models that detect these behaviors, we can notify the user of unwanted actions, allowing them to improve their behavior patterns.