Abstract: Arrangements for optimized navigation through an application are provided. In some examples, a request for application navigation assistance may be received from a user via an application executing on a device. The request for assistance may include identification of a desired destination within the application. A destination node associated with the identified destination may be identified and a current node of the may be identified. Based on the current node and the destination node, a machine learning model may be executed to output an optimized navigation route from the current node to the destination node. One or more user interfaces may then be dynamically generated and transmitted to the user to facilitate navigation through the application from the current node to the destination node.

Abstract: Systems, computer program products, and methods are described herein for secured data analysis and synthetic identity detection in a distributed ledger network. The present invention is configured to receive an event for a predetermined set of occurrences, generate a first hash packet and a second hash packet, wherein the first hash packet is generated by applying a hashing engine to a first identifier, and wherein the second hash packet is generated by applying the hashing engine to a second identifier, generate, by a distributed ledger server, a first key pair, generate, by the member of the distributed ledger network, a second key pair, encrypt a bundle using the first public key, wherein the bundle comprises the first and second hash packets, and appending the bundle to the transaction object, wherein the transaction object is distributed to the distributed ledger network.

Abstract: Methods are provided for an artificial intelligence (“AI”) agent answering a call within a voice AI container. The methods may include the AI agent receiving the call from a human caller within the voice AI container, the call may include a query. The methods may include parsing the query to identify context associated with the query. The methods may include identifying using the context an intent of the query. The methods may include determining whether a first valid mapping stored within a backend database, located in the voice AI container, is associated with the intent of the query. The methods may include loading the first valid mapping. The methods may include navigating an agent screen using the loaded valid mapping. The methods may include gathering information required to satisfy the intent of the query. The methods may include relaying the information to the human caller.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Systems, computer program products, and methods are described herein for automated regression testing. The present invention is configured to generate, using a regression testing engine, a second state instance map for a second version of an application; generate, using the regression testing engine, a first state instance map for a first version of the application; initiate a differential detection engine on the first state instance map and the second state instance map; determine, using the differential detection engine, one or more differential features in the second version of the application; initiate a machine learning model on the one or more differential features in the second version of the application; and classify, using the machine learning model, the one or more differential features into one or more classes.

Abstract: Systems, computer program products, and methods are described herein for electronic resource transfers in a distributed network via network-paired resource transfer devices. The present invention is configured to receive login credentials from a user via a user interface of an endpoint device to access an account, determine, in response to a prompt by the user, at least one network device on a wireless network, wherein the at least one network device may include a resource transfer device, display the resource transfer device on the user interface, receive a selection of the resource transfer device via the user interface, activate a user characteristic authentication feature of the resource transfer device, and receive a signal of an authenticated user characteristic from the resource transfer device.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file.

Abstract: Smart glasses may be used for intelligent UI webpage optimization leveraging UI and viewer extraction telemetry. The smart glasses may include an eyeball tracking device. Methods may include tracking the movement of the eye of a user on the UI webpage. Methods may further include capturing a segment of data within the movement of the eye of a user on a UI webpage and storing the segment of data in memory on the smart glasses. Methods may also include updating the UI webpage based on an instruction in the data segment transmitted to the UI. Additionally, methods may include autofilling the data segment at the point of user eye movement on the UI webpage. Eyeball movement data may transfer from the smart glasses to UI webpage code.

Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: An apparatus for displaying profile information in a virtual environment comprises a processor associated with a server. The processor is configured to generate an authorization token configured to assign a first avatar to a first user, wherein the authorization token is stored within the plurality of transfers of the blockchain record. The processor is further configured to receive session data associated with the first avatar, wherein the session data comprises at least one gesture for a session in a virtual environment and to compare the at least one gesture of the session data to one or more authorized gestures to identify a first authorized gesture. The processor is further configured to display profile information in the virtual environment that is stored in a first user profile associated with the first user in response to identifying the first authorized gesture.

Abstract: A system includes a plurality of computing nodes that form a blockchain network comprising a first user device of a user and a centralized exchange server that stores a first data file of a first type for the user comprising a private key used to perform data interactions relating to data objects of the user stored in the blockchain network. The central exchange server comprises a processor that receive a first request to switch the first data file from a first type to a second type, exports the private key to the first user device and deletes the private key from the first data file. The processor receives a second request to switch the second data file of the second type to the first data file of the first type, imports the private key to the first data file and deletes the private key from the second data file.

Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: Arrangements for generating and using client-side generated one-time passcodes (OTP) for transaction processing are provided. A request to register a user and/or user computing device for client-side OTP processing may be received. A request to register a merchant for client-side OTP processing may also be received and, in respond, a unique access key unique to the merchant may be generated and transmitted to one or more devices. A request to process a transaction may be received and may include the unique access key, transaction details, and user device data. The request may be analyzed to determine whether one or more criteria are met. If so, client-side OTP functions may be enabled. If not, client-side OTP functions might not be enabled and, instead, a request for additional authentication data may be generated and transmitted to the user computing device for display.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Apparatus and methods for unlocking a communication terminal. The methods may include: at the communication terminal, receiving from eye wear of a user, a radio frequency (“RF”) signal that includes a public code. The methods may include: at the communication terminal, receiving from eye wear a request for text that is encrypted using the public code. The methods may include: responsive to the request, transmitting to the communication terminal encrypted text based on the public code. The methods may include displaying on the communication terminal the encrypted text. The methods may include detecting at the terminal, without displaying a decryption of the encrypted text, a user gesture based on the encrypted text. The methods may include providing to the user a private code corresponding to the public code. The private code may be configured to reside in machine readable memory on the eye wear.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file.

Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file.

Abstract: Apparatus and methods for unlocking a communication terminal. The methods may include: at the communication terminal, receiving from eye wear of a user, a radio frequency (“RF”) signal that includes a public code. The methods may include: at the communication terminal, receiving from eye wear a request for text that is encrypted using the public code. The methods may include: responsive to the request, transmitting to the communication terminal encrypted text based on the public code. The methods may include displaying on the communication terminal the encrypted text. The methods may include detecting at the terminal, without displaying a decryption of the encrypted text, a user gesture based on the encrypted text. The methods may include providing to the user a private code corresponding to the public code. The private code may be configured to reside in machine readable memory on the eye wear.