Abstract: An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.

Abstract: A system and method in accordance with examples may include an identity verification kiosk. The identity verification kiosk may include a display comprising a user interface; a card reader; a document scanner; a printer; and a processor in data communication with a server and a database storing user information. The processor may be configured to receive an identification verification request from the user interface; receive user information via the document scanner or the card reader; retrieve user information from the database; verify the identity of a user; and print a unique identifier on a document using the printer.

Abstract: In certain embodiments, nuance-based augmentation of gesture may be facilitated. In some embodiments, a video stream depicting sign language gestures of an individual may be obtained via a wearable device associated with a user. A textual translation of the sign language gestures in the video stream may be determined. Emphasis information related to the sign language gestures may be identified based on an intensity of the sign language gestures. One or more display characteristics may be determined based on the emphasis information. The textual translation may be caused to be displayed to the user via the wearable device according to the one or more display characteristics. In some embodiments, a unique voice profile for the individual may be determined. A spoken translation of the sign language gestures may be generated according to the textual translation, the unique voice profile, and the emphasis information.

Abstract: An example method includes receiving user profile configuration information identifying a user and determining a recipient list for push-based information updates. The recipient list comprises a plurality of other computing devices and the recipient list is associated with the user profile configuration information. The method further includes determining an information set or application for the push-based information updates. The method further includes receiving an input comprising a change to the information set or the application. The method further includes running a daemon process as a background process of an operating system of the computing device. The daemon process is configured to monitor the information set or the application for the change and automatically transmit the change directly to the plurality of other computing devices without being received by any intermediate devices so as to push the change upon the receiving of the change to the information set or the application.

Abstract: An augmented reality system that includes processors and storage devices storing instructions. The instructions configure the processors to perform operations. The operations include identifying a writing object in a video feed being displayed in an augmented reality viewer, identify a tip of the writing object based on a contour of the writing object, and tracking movements of the tip in the augmented reality viewer. The operations may also include generating a virtual file, the virtual file storing the tracked movements and generating a text file by performing an image recognition operation associating the tracked movements stored in the virtual file with one or more characters.

Abstract: Example embodiments of messaging systems and methods are provided. An example system includes a database containing a plurality of messages, a plurality of emoji responses, and a plurality of text reactions. The system further includes a predictive model trained using the plurality of messages and the plurality of emoji responses as inputs and the plurality of text reactions as outputs to determine a mapping relationship between the inputs and the outputs. The predictive model receives a message and one or more emoji responses to the message, combines and summarizes the one or more emoji responses to a text reaction to the message based on the mapping relationship, and transmits the text reaction to a user who initiates the message.

Abstract: Disclosed herein are system, method, and device embodiments for implementing location identification in multi-factor authentication (MFA). In an example embodiment, a user service may present a geographic map based on a MFA process, and receive an authentication attempt including a geographic indicator and interaction information. Further, the system may determine whether the authentication attempt was made by a human based at least in part on the interaction information, determine whether the geographic indicator matches an expected response, and send, to an electronic device, an authentication result indicating whether geographic information was determined to be selected by a human and the geographic indicator was determined to match the expected response.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing an untrained machine learning model with a combined message and an appropriate emoji reaction icon. An embodiment operates by receiving a first and second user message. The first and second user comprises a first and second user text or a first and second user-inserted emoji reaction icon, respectively. The first or second user text is associated with a first or second system-specified emoji reaction icon, respectively. Thereafter, the first user message is determined to be associated with the second user message, the combined message is created based on the first and second messages, and the appropriate emoji reaction is identified as associated with the combined message. The combined message and associated appropriate emoji reaction icon are then sent to an untrained machine learning model configured to for training.

Abstract: An example method includes receiving user profile configuration information identifying a user and determining a recipient list for push-based information updates. The recipient list comprises a plurality of other computing devices and the recipient list is associated with the user profile configuration information. The method further includes determining an information set or application for the push-based information updates. The method further includes receiving an input comprising a change to the information set or the application. The method further includes running a daemon process as a background process of an operating system of the computing device. The daemon process is configured to monitor the information set or the application for the change and automatically transmit the change directly to the plurality of other computing devices without being received by any intermediate devices so as to push the change upon the receiving of the change to the information set or the application.

Abstract: An augmented reality system that includes processors and storage devices storing instructions. The instructions configure the processors to perform operations. The operations include identifying a writing object in a video feed being displayed in an augmented reality viewer, identify a tip of the writing object based on a contour of the writing object, and tracking movements of the tip in the augmented reality viewer. The operations may also include generating a virtual file, the virtual file storing the tracked movements and generating a text file by performing an image recognition operation associating the tracked movements stored in the virtual file with one or more characters.

Abstract: Disclosed herein are system, method, and device embodiments for implementing location identification in multi-factor authentication (MFA). In an example embodiment, a user service may present a geographic map based on a MFA process, and receive an authentication attempt including a geographic indicator and interaction information. Further, the system may determine whether the authentication attempt was made by a human based at least in part on the interaction information, determine whether the geographic indicator matches an expected response, and send, to an electronic device, an authentication result indicating whether geographic information was determined to be selected by a human and the geographic indicator was determined to match the expected response.

Abstract: An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.

Abstract: In some implementations, a transaction card may include a card body having a first surface and a second surface opposite the first surface. The card body may include a clip element that is defined by a slit in the card body from the first surface to the second surface. The clip element may be configured to flex relative to the card body. The transaction card may include at least one of an integrated circuit chip or a magnetic strip adjoined to the card body.

Abstract: Example embodiments of messaging systems and methods are provided. An example system includes a database containing a plurality of messages, a plurality of emoji responses, and a plurality of text reactions. The system further includes a predictive model trained using the plurality of messages and the plurality of emoji responses as inputs and the plurality of text reactions as outputs to determine a mapping relationship between the inputs and the outputs. The predictive model receives a message and one or more emoji responses to the message, combines and summarizes the one or more emoji responses to a text reaction to the message based on the mapping relationship, and transmits the text reaction to a user who initiates the message.

Abstract: A fraud detection system may identify a suspected fraudulent transaction based on one or more criteria. The transaction may be associated with a user. Based on identifying a suspected fraudulent transaction, the fraud detection system may receive augmented reality data from an augmented reality device of the user. The fraud detection system may determine, based on the augmented reality data, whether the transaction is fraudulent, and may take an action based on the determination.

Abstract: An augmented reality system that includes processors and storage devices storing instructions. The instructions configure the processors to perform operations. The operations include identifying a writing object in a video feed being displayed in an augmented reality viewer, identify a tip of the writing object based on a contour of the writing object, and tracking movements of the tip in the augmented reality viewer. The operations may also include generating a virtual file, the virtual file storing the tracked movements and generating a text file by performing an image recognition operation associating the tracked movements stored in the virtual file with one or more characters.

Abstract: A system and method in accordance with examples may include an identity verification kiosk. The identity verification kiosk may include a display comprising a user interface; a card reader; a document scanner; a printer; and a processor in data communication with a server and a database storing user information. The processor may be configured to receive an identification verification request from the user interface; receive user information via the document scanner or the card reader; retrieve user information from the database; verify the identity of a user; and print a unique identifier on a document using the printer.

Abstract: Systems, methods, and apparatuses are described herein for performing sentiment analysis on electronic communications relating to one or more image-based communications methods, such as emoji. Message data may be received. The message data may correspond to a message that is intended to be sent but has not yet been sent to an application. Using a first machine learning model, one or more subsets of the plurality of emoji may be determined. The one or more subsets of the plurality of emoji may comprise one or more different types and quantities of emoji, and may each correspond to the same or a different sentiment. Using a second machine learning model, one or more emojis may be selected from the one or more subsets. The one or more emojis selected may correspond to responses to the message.

Abstract: In certain embodiments, nuance-based augmentation of gesture may be facilitated. In some embodiments, a video stream depicting sign language gestures of an individual may be obtained via a wearable device associated with a user. A textual translation of the sign language gestures in the video stream may be determined. Emphasis information related to the sign language gestures may be identified based on an intensity of the sign language gestures. One or more display characteristics may be determined based on the emphasis information. The textual translation may be caused to be displayed to the user via the wearable device according to the one or more display characteristics. In some embodiments, a unique voice profile for the individual may be determined. A spoken translation of the sign language gestures may be generated according to the textual translation, the unique voice profile, and the emphasis information.

Abstract: Example embodiments of messaging systems and methods are provided. An example system includes a database containing a plurality of messages, a plurality of emoji responses, and a plurality of text reactions. The system further includes a predictive model trained using the plurality of messages and the plurality of emoji responses as inputs and the plurality of text reactions as outputs to determine a mapping relationship between the inputs and the outputs. The predictive model receives a message and one or more emoji responses to the message, combines and summarizes the one or more emoji responses to a text reaction to the message based on the mapping relationship, and transmits the text reaction to a user who initiates the message.