Patent ID: 11900227
Assignee: GRAVYSTACK, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method for producing a target strategy, wherein the method comprises:
receiving, by a processor, a history datum and a target;
identifying, by the processor, a pattern datum as a function of a pattern quantitative field machine learning model, wherein identifying the pattern datum further comprises:
training the quantitative field machine learning model as a function of a quantitative field training data, wherein the quantitative field training data contains a plurality of data entries containing a plurality of history data as inputs correlated to a plurality of pattern data as outputs, wherein quantitative field training data comprises at least a past pattern datum; and
identifying the pattern datum as a function of the history datum using the quantitative field machine learning model;

generating, by the processor, a necessity rating as a function of the pattern datum and the history datum, wherein the necessity rating comprises a numerical score;
generating, by the processor, a pattern correction datum as a function of the necessity rating wherein the pattern correction datum is further configured to correlate the numerical score of the necessity rating to at least an efficiency datum;
generating, by the processor, a modified target as a function of the pattern correction datum, wherein the modified target is generated using a target machine learning model, wherein generating the modified target further comprises:
receiving a training data set, wherein the training data set comprises outputs correlated with inputs, wherein the inputs comprise pattern data inputs and the outputs comprise modified target outputs; and
generating the target machine learning model as a function of the training data set, wherein the trained target machine learning model determines a modified target as a function of the corrected pattern datum;

producing, by the processor, a target strategy as a function of the modified target;
generating a decentralized fiat as a function of the target strategy, wherein the decentralized fiat comprises at least a non-fungible token;
issue a certificate of completion after user has achieved a waypoint in achieving the target strategy, wherein the decentralized fiat represents the certificate of completion.