Data processing system with machine learning engine to provide output generating functions

Abstract

Methods, computer-readable media, and apparatuses for identifying and executing one or more interactive condition evaluation tests and collecting and analyzing social data to generate an output are provided. In some examples, user information may be received and one or more interactive condition evaluation tests may be identified. An instruction may be transmitted to a computing device of a user and executed on the computing device to enable functionality of one or more sensors that may be used in the identified tests. Upon initiating a test, data may be collected from the one or more sensors. The collected sensor data may be transmitted to the system and processed using one or more machine learning datasets. Additionally, social data may be collected and analyzed using one or more machine learning datasets to generate a social profile. The sensor data and social profile may be used together to generate an output.

What is claimed is: 
     
         1 . A method, comprising:
 receiving, from a user computing device, a user input including user information for a user;   identifying, based on the received user information, one or more products for evaluation;   transmitting, to one or more computing devices, a request for social data related to the user;   receiving, from the one or more computing devices, the social data related to the user;   analyzing, using one or more machine learning datasets, the social data to evaluate social behavior of the user;   calculating, based on the analyzed social behavior, one or more social scores;   determining, based on the one or more social scores, whether the user is eligible for the identified one or more products;   generating an output indicating whether the user is eligible for the identified one or more products; and   sending, to the user computing device, the output for display.