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

I'm building a little project to try to improve public health and the spread of pandemic diseases  through the use of machine learning and behavior modification with operant conditioning. It identifies gestures and plays a sound when it detects certain unwanted behavior.

https://youtu.be/5JHZU2kdaqw

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 various 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. The process of Operant Conditioning can slowly change behaviors over time and lead to better health outcomes.

How could I improve this for others to use?