The purpose was to transform data fetched from a face detection AI Google Cloud Vision. I used positions and sentiments of faces detected by the AI to create a layer containing emojis overlaying the faces.
For each sentiment (in a list of 4: joy, anger, sorrow, surprise) Google Cloud Vision provides a degree of likelihood. I converted these degrees into emojis. My goal in further work is to add granularity in the emojis selection, by studying different ways of combining sentiments. Even though Rekognition could discriminate between 9 different sentiments, I found that one of its drawback was that its outputs tend to be more polarized (e.g. 99.3% Happy, when there is only one little smile).