Using Machine Learning System to Dynamically Process Events

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• receiving, by the at least one processor and via the communication interface, a request to process an event from a mobile device of a user;
• responsive to receiving the request to process the event, enabling, by the at least one processor, dynamic event processing functions;
• receiving, by the at least one processor and via the communication interface, first data associated with a location of the mobile device of the user from which the request to process the event was received;
• receiving, by the at least one processor and via the communication interface, second data including event details;
• identifying, by the at least one processor and based on the first data, the second data, and one or more machine learning datasets, a first source from which to process the event;
• and
• processing, by the at least one processor, the event using the identified first source.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

• receive a request to process an event from a mobile device of a user;
• responsive to receiving the request to process the event, enable dynamic event processing functions;
• receive first data associated with a location of the mobile device of the user from which the request to process the event was received;
• receive second data including event details;
• identify, based on the first data, the second data, and one or more machine learning datasets, a first source from which to process the event;
• and
• processing the event using the identified first source.