Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a machine learning engine and as input to the machine learning engine, a digital image file, wherein the digital image file includes an image of a transaction receipt; outputting, by the machine learning engine, text from the digital image file that is recognized by the machine learning engine, wherein the text recognized by the machine learning engine includes a transaction identifier, a transaction amount, and a tip amount; populating, by a point-of-sale device, a transaction finalizing form with the transaction amount and the tip amount; receiving, at the point-of-sale device and via the transaction finalizing form, a command to finalize a transaction associated with the transaction identifier; and initiating, by the point-of-sale device, an update command, wherein the update command updates a record of a datastore associated with the transaction identifier with the tip amount.

Abstract: Systems and methods for in-person interactive shopping are disclosed. In one embodiment, a method may include: (1) identifying, by a computer program, a customer that is present in an area; (2) monitoring, by the computer program, a location of the customer in the area; (3) receiving, by the computer program and from a sensor near the location of the customer, a customer movement associated with removing an item from a shelf; (4) identifying, by the computer program, the item; (5) predicting, by the computer program, that the customer has removed the item from the shelf; (6) adding, by the computer program, the item to a virtual shopping cart for the customer; (7) decreasing, by the computer program, a stored inventory of the item; and (8) charging, by the computer program, the customer for the item.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a machine learning engine and as input to the machine learning engine, a digital image file, wherein the digital image file includes an image of a transaction receipt; outputting, by the machine learning engine, text from the digital image file that is recognized by the machine learning engine, wherein the text recognized by the machine learning engine includes a transaction identifier, a transaction amount, and a tip amount; populating, by a point-of-sale device, a transaction finalizing form with the transaction amount and the tip amount; receiving, at the point-of-sale device and via the transaction finalizing form, a command to finalize a transaction associated with the transaction identifier; and initiating, by the point-of-sale device, an update command, wherein the update command updates a record of a datastore associated with the transaction identifier with the tip amount.

Abstract: Systems, methods, and devices for determining a contrast of colors displayed by a digital user interface are disclosed, In one embodiment, in an electronic device including a processor, a compliance module is configured to receive a user selection of a graphical element displayed on a user interface of the electronic device; determine first color data associated with a background of the selected graphical element; determine second color data associated with a text string within the selected graphical element; determine a luminosity associated with the first color data and a luminosity associated with the second color data; calculate a color contrast ratio based on the luminosity associated with the first color data and the luminosity associated with the second color data; and display, at the user interface of the electronic device, the calculated color contrast ratio.

Abstract: Systems, methods, and devices for determining a contrast of colors displayed by a digital user interface are disclosed, In one embodiment, in an electronic device including a processor, a compliance module is configured to receive a user selection of a graphical element displayed on a user interface of the electronic device; determine first color data associated with a background of the selected graphical element; determine second color data associated with a text string within the selected graphical element; determine a luminosity associated with the first color data and a luminosity associated with the second color data; calculate a color contrast ratio based on the luminosity associated with the first color data and the luminosity associated with the second color data; and display, at the user interface of the electronic device, the calculated color contrast ratio.