Intelligent persona generation

A method comprising:

• receiving, by a processor, an image from a plurality of sources, the image pertaining to processing an identity creation associated with at least one person;
• implementing, by the processor, an artificial intelligence component to sort the image into a plurality of objects;
• evaluating, by the processor, each object from the plurality of objects to identify a principal object pertaining to processing the identity creation requirement;
• identifying, by the processor, at least one parameter associated with the identity creation requirement and receive parameter data associated with the identity creation requirement from a pre-existing library coupled to the processor, wherein the parameter data present in the pre-existing library further comprises at least one of a geographical location, a sustaining organization, an age group, and a linguistic preference for the principal object;
• identifying, by the processor, the principal object pertaining to processing the identity creation requirement;
• implementing, by the processor, a first cognitive learning operation to determine a parameter set from the parameter data, the parameter set to be associated with the principal object;
• obtaining, by the processor, the parameter set associated with the principal object;
• implementing, by the processor, a second cognitive learning operation on the principal object and the parameter set associated with the principal object to determine an identity model indicative of an identity creation associated with the principal object relevant for processing the identity creation requirement and
• generating, by the processor, an identification number corresponding to the identity creating requirement by deploying the identity model, the identification number comprising the resolution to the identity creation.

A non-transitory computer readable medium including machine readable instructions that are executable by a processor to:

• receive an image from a plurality of sources, the image pertaining to processing an identity creation requirement associated with at least one person;
• implement an artificial intelligence component to sort the image into a plurality of objects;
• evaluate each object from the plurality of objects to identify a principal object pertaining to processing the identity creation requirement;
• identify at least one parameter associated with the identity creation requirement and receive parameter data associated with the identity creation requirement from a pre-existing library coupled to the processor, wherein the parameter data present in the pre-existing library further comprises at least one of a geographical location, a sustaining organization, an age group, and a linguistic preference for the principal object;
• identify the principal object pertaining to processing the identity creation requirement;
• implement a first cognitive learning operation to determine a parameter set from the parameter data, the parameter set to be associated with the principal object;
• obtain the parameter set associated with the principal object;
• implement a second cognitive learning operation on the principal object and the parameter set associated with the principal object to determine an identity model indicative of an identity creation associated with the principal object relevant for processing the identity creation requirement;
• and
• generate an identification number corresponding to the identity creating requirement by deploying the identity model, the identification number comprising the resolution to the identity creation.