COGNITIVE ENABLEMENT OF PRESENTERS

Cognitive enablement can include detecting sensor-generated signals received from one or more network-configured sensors, the sensor-generated signals corresponding to physical movement of an audience member during a presentation by a presenter. The sensor-generated signals can be converted to vectorized data structures for inputting to a classification model generated with machine learning. The physical movement can be classified as a prelude to a likely audience interaction, the classifying performed by the classification model based on the vectorized data structures. In response to the classifying, an audience member attribute associated with the audience member can be determined. An audience interaction can be predicted based on the audience member attribute using a prediction model generated with machine learning. A predictive alert corresponding to the predicted audience interaction can be generated. During the presentation, a user interface for displaying the predictive alert to the presenter can be generated using an electronic device.