Data Processing System with Machine Learning Engine to Provide Output Generating Functions

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• receiving a request for a product, the request being received from a user computing device;
• authenticating a user associated with the user computing device;
• identifying, by the at least one processor and based on the request for a product, a first interactive condition evaluation test to be executed on the user computing device;
• generating, by the at least one processor, a first user interface associated with the first interactive condition evaluation test, the first user interface including instructions for executing the first interactive condition evaluation test;
• transmitting, by the at least one processor and to the user computing device, the first user interface;
• initiating the first interactive condition evaluation test on the user computing device;
• after initiating the first interactive condition evaluation test, collecting data from one or more sensors in the user computing device;
• generating, by the at least one processor, a request for data associated with the user of the user computing device, the data including medical history data;
• transmitting, by the at least one processor and to an external data source, the request for data;
• receiving, by the at least one processor and from the external data source, the data associated with the user of the user computing device;
• processing, by the at least one processor and based on one or more machine learning datasets, the collected data and the received data to determine an output for the user;
• generate a second user interface including the output;
• and
• transmitting the second user interface to the user computing device.

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 for a product, the request being received from a user computing device;
• authenticate a user associated with the user computing device;
• identify, based on the request for the product a first interactive condition evaluation test to be executed on the user computing device;
• generate a first user interface associated with the first interactive condition evaluation test, the first user interface including instructions for executing the first interactive condition evaluation test;
• transmit, to the user computing device, the first user interface;
• initiate the first interactive condition evaluation test on the user computing device;
• after initiating the first interactive condition evaluation test, collect data from one or more sensors in the user computing device;
• generate a request for data associated with the user of the user computing device, the data including medical history data;
• transmit, to an external data source, the request for data;
• receive, from the external data source, the data associated with the user of the user computing device;
• process, based on one or more machine learning datasets, the collected data and the received data to determine an output for the user;
• generate a second user interface including the output;
• and
• transmit the second user interface to the user computing device.