I’ve developed quite a few WebRTC applications over the last three years and noticed that as ML-based features arrive on almost every popular application one way or another, there’s been an increase on feature requests that involve speech to text, sentiment analysis, natural language understanding and computer vision. Almost every time one of these features is implemented it requires a considerable amount of engineering resources, probably because the available tools have a steep learning curve or aren’t a good match for the specific use case.