Capital One Services, LLC

Mario Alejandro Garcia

Samuel Yip

Roberto Irizarry

In some implementations, a device may obtain a first image of a first note, and identify a first identifier associated with the first note and a first set of visual characteristics of the first note indicating an appearance of the first note. The device may obtain a second image of a second note, and identify a second identifier associated with the second note and a second set of visual characteristics of the second note indicating an appearance of the second note. The second identifier may correspond to the first identifier, indicating that the second note is purported to be the first note. The device may determine whether the second note is counterfeit based on the first set of visual characteristics of the first note and the second set of visual characteristics of the second note. The device may perform action(s) based on a determination that the second note is counterfeit.

Counterfeit detection using image analysis

Disclosed embodiments may include a method for generating meal recommendations by receiving first data and user input data. The system may generate a food profile and estimate of ingredients based on the first data and the user input data. The system may generate, based on the estimate of ingredients, one or more cooking instructions or an output that the user does not have sufficient ingredients. If cooking instructions are generated, the system may generate and transmit a graphical user interface comprising the one or more cooking instructions based on the estimate of ingredients for display. If it is determined the user does not have sufficient ingredients, the system may generate and transmit a graphical user interface comprising one or more dining options for the user for display.

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Arlington, VA, United States of America

Mario Alejandro Garcia