Abstract: Disclosed embodiments may include a method for dynamically detecting disabilities. The method may include receiving image data and sensory data from an imaging device and one or more sensors of a user interacting with a machine, determining, using a machine learning model, whether the user interacting with the machine is impaired based on the image data or the sensory data, or combinations thereof, and in response to determining that the user is impaired: causing the machine to output a sound or one or more vibration sequences within a predetermined distance from a reader of the machine, initiating a phone call to a user device associated with the user using a phone number associated with the data, initiate a machine process, receiving, from the user device, a command to terminate the machine process, and transmitting a termination instruction to the machine.

Abstract: Systems and methods for uses and/or improvements to using artificial intelligence applications with large datasets. In particular, systems and methods for enriching data structures (e.g., data structures comprising user profile data) with additional data structures (and values thereof) from accessible data from a plurality of other users based on identifying relevant data to use for enriching the data structures using detected metadata correlations.

Abstract: Disclosed herein are system, method, and computer program product embodiments for asset-invoked reaction indication. According to some aspects of this disclosure, a first device may request to send an asset to a second device. A response action for the asset may be identified based on a user profile associated with the second device and a type of the asset. The asset may be sent to the second device responsive to identifying the response action. The response action may be triggered based on an indication that the second device received the asset.