System for searching and correlating online activity with individual classification factors

A system, comprising:

• one or more processors;
• and
• memory including instructions that, as a result of execution by the one or more processors, cause the system to:
• receive a selection of a screening priority for screening an individual;
• extract an attribute from source data that is associated with the individual;
• obtain, based at least in part on the attribute, unstructured data associated with the individual from an online source, the unstructured data including a digital image;
• transform the unstructured data including the digital image into a structured dataset, the structured dataset selected from a plurality of structured data sets based on a type of the online source, the structured dataset comprising a data field that corresponds to the type of the online data source;
• make a determination, at least in part by passing the structured dataset to a machine learning algorithm, within an amount of statistical certainty that the digital image is associated with the screening priority;
• and
• output the determination to a user interface.

A non-transitory computer-readable storage medium having stored thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to at least:

• train, based on inter-rater agreements on whether historical data corresponds to a category of conduct, an algorithm to identify the category of conduct in a plurality of disparate forms of data, the plurality of disparate forms including digital image data;
• obtain an attribute associated with an individual being screened;
• obtain, based at least in part on the attribute, a first set of data associated with the individual from an online data source, the first set of data corresponding to the digital image data, wherein the online data source comprises at least one of a social media site, a website, or a search engine;
• obtain, based at least in part on the attribute, a second set of data associated with the individual, the second set of data corresponding to another of the plurality of disparate forms;
• transform the first set of data that at least corresponds to the digital image data and the second set of data into a standard data structure determined from a plurality of standard data structures based at least in part on the online data source;
• input contents of the standard data structure to the algorithm;
• receive a result from the algorithm that indicates that the first set of data associated with the individual is associated with the category of conduct;
• and
• output the result to a user interface.