US 12,468,758 B1
Attribute recharacterization in individual portions of images
Nagaraju Buddhiraju, Concord, NC (US); Ramakrishna Akula, Darsi (IN); Arjun I T, Malappuram (IN); Balachander Kamatchi, Chennai (IN); Vijay Kumar Yarabolu, Hyderabad (IN); Savleen Kaur, Faridabad (IN); Manikandan Rajaraman, Chennai (IN); and Lakshmi Narasimha Prasad Dornala, Hyderabad (IN)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Nov. 29, 2024, as Appl. No. 18/964,192.
Int. Cl. G06F 16/00 (2019.01); G06F 16/55 (2019.01)
CPC G06F 16/55 (2019.01) 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a memory operable to store:
a machine learning algorithm configured to evaluate data in accordance with one or more machine learning models; and
at least one processor communicatively coupled to the memory and configured to:
receive first peripheral information from a network device, the first peripheral information comprising a first format;
generate a first tag for a first portion of the first peripheral information, wherein:
the first tag comprises first guidance to generate first communication information that correlates to the first peripheral information; and
the first communication information comprises a second format;
determine a first correlation between the first peripheral information and the first tag, the first correlation referencing a first amount of information preserved in the first communication information that matches the first peripheral information after the first communication information is generated based on the first peripheral information;
determine whether the first amount of information preserved is outside a first accuracy tolerance;
in response to determining that the first amount of information preserved is outside the first accuracy tolerance, execute the machine learning algorithm to:
determine at least one difference between the first peripheral information and the first communication information;
evaluate the at least one difference against historical data associated with the network device, the historical data comprising patterns associated with one or more previous communication information generated from previous peripheral information received from the network device;
determine a first plurality of tagging commands based on a first evaluation of the at least one difference against the historical data, the first plurality of tagging commands comprising a first plurality of possible modifications to the first tag; and
modify the first tag to incorporate the first plurality of possible modifications;
generate a first portion of the first communication information based on the first portion of the first peripheral information in accordance with a modified version of the first tag; and
transmit the first portion of the first communication information to the network device.