US 11,966,721 B2
Extended reality platform and machine learning engine for automated code error resolution
Satya Jonnadula, Simi Valley, CA (US); Srinath Nelakuditi, Telangana (IN); Kalyan Pallapolu, Telangana (IN); and Gali Mohan Sreenivas, Andhra Pradesh (IN)
Assigned to BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed by BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed on Jul. 12, 2022, as Appl. No. 17/862,727.
Prior Publication US 2024/0020098 A1, Jan. 18, 2024
Int. Cl. G06F 9/44 (2018.01); G06F 8/33 (2018.01); G06F 8/34 (2018.01); G06T 19/00 (2011.01)
CPC G06F 8/34 (2013.01) [G06F 8/33 (2013.01); G06T 19/006 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for automated code resolution in an extended reality environment, the system comprising:
at least one non-transitory storage device storing an extended reality platform; and
at least one processing device coupled to the at least one non-transitory storage device, wherein the at least one processing device is configured to:
electronically receive a first user input comprising a selection of an error;
build a first display based on a plurality of application requirements associated with the error;
build a second display based on a source code associated with the error;
identify, via a first machine learning algorithm, a plurality of first objects associated with the first display and a plurality of second objects associated with the second display;
identify a plurality of first extended reality (XR) objects, wherein each first XR object is associated with one of the plurality of first objects and a plurality of second XR objects, wherein each second XR objects are associated with each of the plurality of second objects;
build a first XR display using the plurality of first XR objects and a second XR display using the plurality of second XR objects; and
indicate, via the XR platform, at least one discrepancy between the first XR display and the second XR display.