Method and apparatus for predicting an action to be taken by a user of a mobile device, comprising: generating a machine learning (ML) model using historical training data comprising (a) output training data that includes a scheduled action on a calendar and (b) input training data comprising historical usage data of the mobile device by the user; receiving real-time usage data of the mobile device, the real-time usage data indicating at least one of (a) an emotional state of the user, wherein the emotional state is indicative of autism spectrum disorder, or (b) indicators of the environment of the user; and evaluating data comprising the real-time usage data of the mobile device using the ML model to output a suggested action to be performed by the user, wherein the suggested action mitigates a negative impact on the user of a symptom of the autism spectrum disorder.