Inspiration Paying attention in online classes as a student is hard. It’s even harder as a professor to keep that attention. We wanted to build an application that can create feedback on emotions and attentiveness.
What it does A tool for running lectures in the era of virtual and remote learning. Creates a video presentation space where the instructor can get feedback on their user's emotions and attention.
We submit photos of the participants live to a sentiment analysis API, using Amazon Rekognition. This data comes back to the professor in the form of overall analytics. With it, an instructor can get an idea of how much of his class is asleep, confused, or bored, and be able to address/accommodate. The platform was built with the infrastructure to take in other analytics as we go forward, such as detecting hand raises or other motions.
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