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Of the 2.1 million applications submitted through CCCApply each year, the vast majority of them are valid - submitted by legitimate applicants that want to attend a California community college. These applications contain personal identifiable data and other critical information that needs to get to the college as quickly and safely as possible. However for the percentage of applications that are bad and that are submitted through CCCApply for nefarious purposes with the intent to commit fraud, we've developed a system that will analyze, flag, suspend, and ultimately, block the fraud attempt through a spam filter web service and user interface.

Development of the spam filter web service and user interface began in early 2017 to assist colleges in making accurate and informed decisions on whether an application is fraud or not.  The tool consists of three main components: the post-submission web service, the machine-learning model and prediction service, and the user interface to review and confirm identified fraud. 

This page talks about the development project, what it includes, and how it operates.

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