Bank of America Corporation

Srinivas Dundigalla

Pavan K Chayanam

Sandeep Verma

Nandini Rathaur

Saurabh Mehta

Venkata R Bhimireddy

Mohan Kakarla

Jaimish H Patel

Indradeep Dantuluri

Navdeep Mahajan

Steven Novack

Arunachalam Packirisamy

Darshan K Nanjegowda

Prashanth Kolar

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.

System and method to display profile information in a virtual environment

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.

System and method for electronic resource transfers in a distributed network via network-paired resource transfer devices

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.

System and method for secured data analysis and synthetic identity detection in a distributed ledger network

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.

Multi-computer system for user authentication based on client-side one-time passcode

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.

Apparatus and methods to extract data with smart glasses

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.

System for automated regression testing

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.

Virtual assistant host platform configured for interactive voice response simulation

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.

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.

Intelligent webpage UI optimization leveraging UI and viewer extraction telemetry

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.

ATM encrypted screens powered by smart glass for screen decryption

A system is provided for mobile log heatmap-based auto test case generation. In particular, the system may continuously track and log user actions and data flows for applications within the production environment. Based on the logs, the system may generate a navigation network graph through which the system may identify all possible navigation paths that may be taken by the user to access certain functions or screens of the application. Once the paths have been identified, the system may collect and sanitize testing data based on user session and system interaction data in the production environment. The testing data may then be used to drive the development of the next release or version of the application.

Mobile log heatmap-based auto testcase generation

A crash prediction computing system includes a machine learning module capable of analyzing data logs associated with each of a plurality of services or applications to identify and categorize every error, exception, and/or crash, such as those resulting from client system interactions based on crash type, customer profile type, customer screen navigation flow, time or crash. The machine learning algorithms continuously train the crash prediction models for each crash category with associated client computing system navigation flow. The crash prediction computing system applies each model before each screen/activity navigation to predict whether the next move will result in an error, exception or crash, and for each predicted error, exception, or crash, automatically implement alternate route functionality to arrive at a desired target.

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Charlotte, NC, United States of America

Srinivas Dundigalla