For physicianeer Kenneth Sims IV and some other ENMED students, COVID-19 spawned a highly useful challenge: How could they take some of the guess work out of the process of finding a properly fitting N95 mask.
Sims and the team developed a mobile phone app in response to many people having to use trial-and-error to find the right sized mask. Using their computer and programming skills, the team created an algorithm in the web application to analyze facial photographs and validated the process with photos from volunteers. All the data were analyzed using the Google Cloud Vision API. The app used facial landmarks along with voluntarily collected demographic factors of volunteers.