Patent ID: 11875286
Assignee: FLOURISH WORLDWIDE, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of optimizing value within certain domains, the method comprising:
querying, by a computing device, a database for domain data associated with one or more members of a group, wherein the domain data comprises at least domain-specific data;
extracting, by the computing device, a subset of data from the domain data, wherein the subset of data comprises critical domain data, utilizing natural language processing;
iteratively training, by the computing device, a target-setting machine learning model using target-setting training data, wherein the target-setting training data comprises domain-specific data correlated to domain target data;
generating, by the computing device, at least a domain target as a function of the trained target-setting machine learning model, wherein the trained target-setting machine learning model receives the at least domain-specific data as input and outputs at least a domain target;
iteratively training, by the computing device, a critical domain machine learning model comprising a neural network as a function of a critical domain training data and training the neural network as a function of the critical domain training data;
generating, by the computing device, one or more recommendations for the group as a function of the neural network based at least on an output of the critical domain machine learning model, wherein the neural network receives the critical domain data and the at least a domain target as inputs and outputs at least a recommendation;
identifying, by the computing device, at least one motivational output for the one or more members of the group as a function of a trained motivation machine learning model trained using training data comprising the at least a domain target correlated to subsequent updates to at least a cohort group, wherein identifying the at least one motivational output comprises:
identifying the at least a cohort group as a function of a classifier;

transmitting, by the computing device, the one or more recommendations to one or more remote devices of the one or more members of the group, respectively; and
presenting, by the one or more remote devices, a graphical representation of the one or more recommendations.