A process for automated story generation can comprise receiving, via at least one computing device, interaction data associated with an entity and a physical environment. Based on the interaction data, the at least one computing device can determine that at least one event occurred based on the interaction data. The at least one computing device can execute a trained machine learning model on the interaction data to generate an output comprising one or more interests. The at least one computing device can generate a composition comprising an audio element and a visual element based on the output.
TRAINING MACHINE LEARNING MODELS FOR AUTOMATED COMPOSITION GENERATION