Computer-based systems configured for machine-learning context-aware curation and methods of use thereof

Abstract

Systems and methods of context-aware caller identification via machine learning techniques are disclosed. In one embodiment, an exemplary computer-implemented method may comprise: obtaining a trained activity completion time estimation machine learning model that determines activity completion time prediction data for an activity of an entity; receiving, from a first computing device of a user, current entity-specific device-executed user activity data of a current entity-specific user activity associated with a user and an entity; receiving from a second computing device associated with the particular entity, current user-specific entity activity data associated with a current user-specific entity activity, related to the current entity-specific user activity; utilizing the trained activity completion time prediction machine learning model to determine current user-specific entity activity completion time prediction data for the current user-specific entity activity; and determining a current displaying context to notify the user of the current user-specific entity activity completion time prediction.