Patent ID: 11907881
Assignee: UVA IP LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A method for generating a process enhancement, the method comprising:
receiving, by at least a processor, process data;
receiving, by the at least a processor, user input;
determining, by the at least a processor, a plurality of response modules as a function of the user input;
determining, by the at least a processor, a modification target as function of the plurality of response modules, wherein determining the modification target comprises:
calculating an importance score for each response module of the plurality of response modules;
ranking each response module of the plurality of response modules as a function of the importance score; and
determining the modification target as a function of the ranking;

identifying, by the at least a processor, at least a process modification as a function of the process data and the modification target, wherein identifying the at least a process modification comprises:
generating module training data, wherein the module training data comprises correlations of process modules to process modifications, wherein the module training data is preprocessed by the processor using a data cleaning algorithm;
training a response module machine learning model using the module training data, wherein the response module machine learning model receives the modification target and process data as input and outputs at least a process modification; and
determining the at least a process modification as a function of the response module machine learning model; and

generating, by the at least a processor, the process enhancement as a function of the at least a process modification.