System and methods for automatically providing customized financial card incentives

A system for providing financial card incentives to a user comprising:

• one or more processors;
• and
• memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
• receive first transaction data regarding a first transaction associated with the user;
• determine whether the first transaction was made during a predetermined date range;
• responsive to determining that the first transaction was made during the predetermined date range:
• retrieve user similarity data;
• generate, using a k-means clustering algorithm, a value representing a confidence score that the user is a student by comparing the user similarity data to data of known students;
• determine whether the value is greater than or equal to a predetermined threshold;
• responsive to determining that the value is greater than or equal to the predetermined threshold:
• receive or retrieve comprehensive user data;
• classify, using a neural network, the user as the student or a non-student based on the comprehensive user data and the user similarity data;
• and
• responsive to classifying the user as the student:
• verify, using the first transaction data, that the first transaction corresponds to an education purchase by:
• transmitting a message, to a user device, indicating the first transaction requires verification;
• receiving, from the user device, image data of a receipt for the first transaction;
• processing, using optical character recognition (OCR), the image data to obtain receipt data;
• verifying the first transaction is the education purchase using the receipt data;
• generate a first amount of rewards that the first transaction qualifies for based on the first transaction data;
• and
• responsive to classifying the user as the non-student, determining that the value is not greater than or equal to the predetermined threshold, or determining that the first transaction was not made during the predetermined date range, generate a second amount of rewards that the first transaction qualifies for based on the first transaction data, wherein the first amount of rewards is greater than the second amount of rewards.