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: Systems and methods associated with sharing encrypted account details with a trusted party are disclosed. In one embodiment, an exemplary method may comprise hosting an online service accessed by a plurality of user accounts each configured for concurrent access sessions, establishing a first authenticated access session for a first user account between the online service and a first device associated with a first user, receiving a login request associated with the first user account to establish a second authenticated access session between the online service and a second device associated with a second user, transmitting, to the first device, a notification of the login request including a GUI element and a request to authenticate the login request, and establishing the second authenticated access session between the online service and the second device of the second user based on authentication of the second user via the GUI element.

Abstract: In some implementations, a server device may receive, from a client device, a script identifier, that identifies a script, and an indication of whether the script was successfully executed by the client device. The server device may determine whether a condition associated with disabling the script is satisfied based on the script identifier, the indication of whether the script was successfully executed by the client device, and stored information determined based on a plurality of indications of whether the script was successfully executed by a plurality of other client devices. The server device may selectively cause a data structure to be updated to indicate that the script is disabled based on determining whether the condition is satisfied. The data structure may be used to indicate whether the script is enabled prior to execution of the script.

Abstract: A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.

Abstract: Various embodiments are generally directed to improving card security by providing a user a contactless card with no sensitive card information, such as card number, card verification value, and expiration date, printed thereon, and displaying the sensitive card information relative to the card in augmented reality (AR) based on successful NFC-based user authentication. According to examples, the NFC-based user authentication may be performed by one-tapping or single tapping the contactless card to user mobile device. One or more portions of the sensitive card information may be obfuscated to further enhance card security. Moreover, the user can interact with AR elements including the sensitive card information to perform various actions.

Abstract: A toll transponder may receive transaction card data identifying a transaction card associated with a transaction account. The toll transponder may provide to a toll server device, and via a toll antenna of a toll collection system, a request for a transaction amount for a vehicle toll, and may receive a response requesting authorization for payment of the transaction amount. The toll transponder may determine, based on the response, an authorization request cryptogram for payment of the transaction amount, and generate an encrypted signal identifying the authorization request cryptogram, the transaction card data, and a toll transponder identifier identifying the toll transponder. The toll transponder may provide the encrypted signal to the toll server device via the toll antenna, and may receive from the toll server device, via the toll antenna, data indicating whether the transaction amount for the vehicle toll is approved.

Abstract: A device may receive application data associated with transaction applications of client devices and transaction card data associated with transaction cards. The device may receive geographical data identifying a geographical area associated with users of the client devices and the transaction cards. The device may determine, based on the application data, the transaction card data, and the geographical data, location data identifying geographical locations of the users in the geographical area. The device may determine, based on the location data, quantity data identifying quantities of the users located on multiple paths of the geographical area. The device may process the geographical data, the location data, and the quantity data, with a machine learning model, to identify a path with less than a threshold quantity of users in the geographical area. The device may perform one or more actions based on the path.

Abstract: A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.

Abstract: The present disclosure relates generally to a roadway debris clearing system that can be concealed within, or behind, a standard push bumper of a safety patrol vehicle. The roadway debris clearing system may include a debris clearing device that is disposed between the vehicle motor and the front bumper. The debris clearing device can be deployed from a retracted position to an extended position where the device is capable of pushing debris from a roadway. The debris clearing device, when in the retracted position, may be concealed behind the front bumper of the vehicle. The roadway debris clearing system includes a camera system to observe an area in front of the vehicle as well as under the front bumper while clearing debris using the debris clearing device.

Abstract: A system includes an application programming interface, a database, and a server. The application programming interface can make recommendations to a user at a point of sale to display a recommended payment method from a set of payment methods associated with the user. The database can store past transactions for each payment method in the set of payment methods. The server can generate payment analytics by analyzing the past transactions in the database for each payment method. The server can determine potential benefits available to the user. The server can determine the recommended payment method by using the payment analytics and maximizing the potential benefits available to the user.

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: Transaction cards, systems and methods involving an on-card display and an associated mobile computing device utilized for authenticating transactions are disclosed. In one embodiment, an exemplary transaction card may comprise transaction circuitry configured to conduct purchase transactions involving a mobile computing device coupled to or associated with the transaction card, communication circuitry configured to communicate with a provider of the transaction card, an e-ink display configured to display a QR code on the transaction card for use in authentication, data storage configured to store the QR code, and computer readable media having instructions for initiating a second-factor authentication process and displaying the QR code on the e-ink display to be captured by the mobile computing device and transmitted to a system or server for validating the second-factor authentication process.

Abstract: A user profile scoring platform may analyze a transaction log of a transaction account of a user to determine, based on transactions of the transaction log, a qualification status of the user, wherein the qualification status indicates that a characteristic of the user satisfies a threshold qualification metric. The user profile scoring platform may determine, based on the qualification status, a transaction-based score associated with the user, wherein the transaction-based score is determined using a transaction log analysis model. The user profile scoring platform may obtain, based on receiving the access information, a user score associated with a user transaction history that is associated with a plurality of transaction accounts that are associated with the user and different from the transaction account. The user profile scoring platform may perform an action based on the transaction-based score and the user score.

Abstract: Systems and methods involving a computer-implemented portal that enables a user to pre-authorize purchase of items not yet available for sale are disclosed. In one embodiment, an exemplary method may comprise: providing an online portal that enables a user to manage a financial account; executing a first routine of the portal including interactive functionality enabling the user to specify and pre-authorize purchase of an item that is not yet available for sale; searching to determine at least one electronic source at which the item can be purchased when it becomes available for purchase; and executing a purchase transaction at the future date/time when the item is released for sale, to purchase the item for the user.

Abstract: In some implementations, a server device may receive, from a client device, a script identifier, that identifies a script, and an indication of whether the script was successfully executed by the client device. The server device may determine whether a condition associated with disabling the script is satisfied based on the script identifier, the indication of whether the script was successfully executed by the client device, and stored information determined based on a plurality of indications of whether the script was successfully executed by a plurality of other client devices. The server device may selectively cause a data structure to be updated to indicate that the script is disabled based on determining whether the condition is satisfied. The data structure may be used to indicate whether the script is enabled prior to execution of the script.

Abstract: In order to facilitate electronic meeting scheduling and coordination, systems and methods are disclosed including receiving, by a processor, a plurality of electronic meeting requests to schedule a meeting. The processor determines, for each electronic meeting request, meeting room needs. A meeting scheduling machine learning model is utilized to predict parameters of meeting room objects representing the candidate meeting rooms based at least in part on the meeting room needs, schedule information associated with a respective electronic meeting request and location information associated with the respective electronic meeting request. The processor causes an indication of the candidate meeting rooms to display in response to the electronic meeting request on a screen of computing devices associated with the respective attendees based at least in part on the predicted parameters.

Abstract: In order to facilitate automatic message prioritization, systems and methods are described including a processor that receives electronic messages, where each electronic message is associated with a sender and a recipient.

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 machine learning model supported trend detection engine can be available via an application programming interface to business or community planners to evaluate the potential for new plans or ventures. The model can be based upon transaction trends and available merchant data from transactions such as location, time, merchant type, and transactions history longevity from particular retailers. The model can generate a dashboard that shows past performance, predicted future performance, trends, similarity between businesses, and profitability. The new plan or venture can be correlated with other retailers that have been established and successful under a similar model and located near another retailer similar to the new plan or venture.

Abstract: A transaction card receives sound waves that represent a user command, where the user command identifies one or more transaction restrictions of the transaction card. The transaction card converts the sound waves to a digital signal and identifies, based on an analysis of the digital signal, user command data that identifies the user command. The transaction card sets, based on identifying the user command data, one or more transaction restriction values for the one or more transaction restrictions. The transaction card receives transaction metadata associated with a transaction and determines whether the transaction is compliant with the one or more transaction restrictions. The transaction card causes, based on determining whether the transaction is compliant with the one or more transaction restrictions, the transaction to be processed by a server device, or to be declined.