Bank of America Corporation

Kalyan Chakravarthy Pallapolu

Srinath Nelakuditi

Balamurali Lakshminarayanan

Bharathi Tadepalli

Gali Mohan Sreenivas

Srinath Chakinam

Mohana Madhuri Patri

Suneetha Padala

R K Kiran Kumar

Sriram Balasubramanian

Satti Rajeswara Seshareddy

Satya Jonnadula

Mubashshir Ahmed Nazir Ahmed

Systems, computer program products, and methods are described herein for reviewing software code changes in an augmented reality platform. The present invention is configured to receive a request to merge a code change with a main project repository; in response, retrieve metadata associated with the code change; generate a standard compiler output by compiling the metadata associated with the code change; identify one or more objects and one or more layouts from the standard compiler output; retrieve one or more 3D models for the one or more objects; generate an augmented modeling session for display on a first user input device; receive, from the first user input device, a user acknowledgement of the code change; and merge the code change with the project repository.

Three-dimensional software code review engine

Systems, computer program products, and methods are described herein for automated code resolution in an extended reality environment. The present invention allows a user (such as a software developer) to view source code discrepancies in real time using an extended reality (XR) environment. In this regard, the present invention focuses on electronic applications (and the electronic work products/electronic data hosted thereon) and represents a combined view of real-time applications and application requirements within an XR environment. A user may then visualize discrepancies between the current application and the application requirements via an XR platform (accessible using a virtual/augmented/mixed reality device) and proactively make edits, approvals, or otherwise interact with said application. The system may also be configured to automatically alter the source code to resolve said discrepancies.

Extended reality platform and machine learning engine for automated code error resolution

Systems, computer program products, and methods are described herein for reviewing software code changes in an augmented reality platform. The present invention is configured to receive a pull request to merge a code change with a main project repository; in response, retrieve, from a code change repository, metadata associated with the code change; generate a standard compiler output by compiling the metadata associated with the code; identify one or more objects and one or more layouts from the standard compiler output; retrieve one or more 3D models for the one or more objects; generate an augmented modeling session for display on the first user input device; receive, from the first user input device, a user acknowledgement of the code change; and merge the code change with the project repository in response to receiving the user acknowledgement.

A system comprising a coordinate tracking engine and a video classification engine communicably coupled to a notification engine. The coordinate tracking engine detects that geographical coordinates of a mobile device indicate that an account holder is within a threshold distance of a physical branch of an institution. The notification engine retrieves account information for the account holder. The coordinate tracking engine further detects that the account holder has arrived at the physical branch. The video classification engine captures video frames of an entrance to the physical branch and identifies the account holder. The notification engine further presents account information for the account holder on a display.

Two-way intercept using coordinate tracking and video classification

An intelligent determination of code change review assignments and subsequent secured access to the determined assignments. Code changes undergo code change complexity determination which is based on (i) a level of importance of the module(s) in which the changes occur, (ii) the volume of metadata files impacted by the code changes, and (iii) the dependency of the code changes on external modules. A distributed trust computing network is implemented and a code change smart contract which relies on smart contract rules is used to determine and allocate code change review assignments. In this regard, data blocks within a distributed ledger define individual segments/portions of the code change file with each data block identifying a code change review assignment.

Secured code assignment and review engine

An apparatus includes a memory and a hardware processor. The memory stores a plurality of previous software errors and a plurality of solutions to the plurality of previous software errors. The processor receives a video of a user describing an error in a software application and tracks a facial feature of the user to determine an emotional intensity. The processor converts an audio portion of the video to a text file and analyzes the text file to determine the error. In response to the emotional intensity exceeding a threshold, the processor determines, based on the plurality of previous software errors, a series of steps that, when performed, replicate the error, determines, based on the series of steps and the plurality of solutions, a change to the source code of the application that fixes the error, and implements the change to the software code.

Error repair tool using sentiment analysis

A system comprising a coordinate tracking engine and a video classification engine communicably coupled to a notification engine. The coordinate tracking engine detects that geographical coordinates of a mobile device indicate that an account holder is within a threshold distance of a physical branch of an institution. The notification engine retrieves account information for the account holder. The coordinate tracking engine further detects that the account holder has arrived at the physical branch. The video classification engine captures video frames of an entrance to the physical branch and identifies the account holder. The notification engine further determines an institutional representative associated with the account holder is available at the physical branch, notifies the representative of the arrival of the account holder, and presents account information for the account holder.

A code merging system is configured to manage the storage of source code on a local system in the software development cycle. A cloud environment hosts working source code, which is composed of metadata artifact components. Copies of some of the metadata artifact components are transferred to a source code control and merged with master source code in either a partial merge process or a full merge process.

Dynamically updating source code from a cloud environment

A memory stores an environment file. A hardware processor receives a video file comprising a first frame and a second frame. The hardware processor determines a first object in the first frame and a first user action performed in the first frame. The hardware processor determines a second object in the second frame and a second user action performed in the second frame. The hardware processor determines a first keyword for the first user action and a second keyword for the second user action. The hardware processor determines, based on the first and second keywords, a first script and a second script from the environment file. The hardware processor then combines the first script and the second script to generate an automation script that, when executed, performs the first user action on the first object and the second user action on the second object.

Automation tool

Apparatus and methods for an intelligent audit engine are provided. Product development artifacts may be associated with artifact tags and stored in an artifact repository. The audit engine may retrieve an artifact for audit. The audit engine may identify a set of development guidelines in a rule repository based on their artifact tags. The audit engine may determine whether the development guidelines have been satisfied based on stored product testing data. A failed development guideline may initiate a workflow that includes notification of a project stakeholder regarding the failure. The notification may include remediation measures to be taken by the stakeholder. The validation process may iterate until all guidelines have passed validation. A machine-learning algorithm may prioritize a development guideline for future audits to increase efficiency. The machine learning algorithm may educate stakeholders to reduce audit failures.

Intelligent checking engine

A smart transmission system is configured to upload data from a plurality of sources to a target application hosted in a cloud environment. A server receives a data stream from the plurality of sources. Using a priority algorithm, the server analyzes the data stream to determine which files and accounts are most critical for the target application's function. The files and their associated accounts are partitioned into tranches, and the tranches are uploaded to the target application in order of priority.

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Hyderabad Telangana, India

Kalyan Chakravarthy Pallapolu