Using machine learning to classify insurance card information

A system comprising:

• one or more processors;
• and
• one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform functions comprising:
• receiving at least one image of an insurance card of a user, wherein the at least one image is scanned from a mobile device of the user;
• extracting one or more feature values from the at least one image of the insurance card of the user, wherein the one or more feature values, as extracted, comprises text information;
• generating a feature vector associated with the at least one image of the insurance card of the user comprising an ordered list of the one or more feature values, as extracted, for the at least one image of the insurance card of the user;
• reducing, using dimensionality reduction, an amount of data in the feature vector of the at least one image of the insurance card of the user to a set of data;
• determining, by a machine learning model, as trained, a first insurance plan of the user based on machine learning model input data comprising the set of data of the feature vector, as reduced, of the at least one image of the insurance card of the user;
• identifying at least one alternative insurance plan to be displayed to the user based at least in part on historical medical information associated with the user and the first insurance plan;
• and
• sending instructions to display to the user, on a user interface of the mobile device of the user, a recommendation for the user, wherein the recommendation comprises the at least one alternative insurance plan and does not comprise the first insurance plan.