Micro-services architecture to integrate heterogeneous nodes for digital feed generation
Abstract:
Example implementations include determining, based on participant objects input into a machine learning model, to transmit a query to a third-party application based on a machine learning model trained with historical data associated with opportunities provided by third-party applications, transmitting to a third-party application, the query constructed based on a template compatible with an application programming interface (“API”) of the third-party application, receiving a response from the third-party application including an event and a profile for a participant of a service provided by the third-party application, the profile linked with a participant object and generated in response to importing information associated with the profile from a third-party administrator device, the event indicative of an opportunity to reduce resource utilization, determining that the participant object satisfies a parameter of the event, and providing to a computing device of the participant object responsive to satisfaction of the parameter, an indication of the event.
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