| CPC G06Q 10/06398 (2013.01) | 14 Claims |
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1. A method of facilitating modeling expertise of individuals, wherein the method comprises:
receiving, using a communication device, at least one individual information associated with an individual from at least one user device;
analyzing, using a processing device, the at least one individual information, wherein the analyzing of the at least one individual information comprises analyzing the at least one individual information using a plurality of criteria of the expertise, wherein the analyzing further comprises analyzing the at least one individual information using a natural language processing model;
determining, using the processing device, an incompleteness of at least one of the plurality of criteria of the expertise based on the analyzing of the at least one individual information;
generating, using the processing device, at least one prompt for the individual based on the determining of the incompleteness, wherein the generating of the at least one prompt is initiated based on at least one predefined condition, wherein the at least one predefined condition is based on at least one contextual variable, wherein the at least one contextual variable represents a condition relevant to the generating of the at least one prompt, wherein the at least one contextual variable comprises at least one of a location, a time, and an identity of the individual;
presenting, using an output device, the at least one prompt;
generating, using a motion sensor, at least one response corresponding to the at least one prompt based on capturing a gesture of the individual;
analyzing, using the processing device, the at least one response;
determining, using the processing device, at least one task associated with the individual based on the analyzing of the at least one individual information using the natural language processing model;
determining, using the processing device, at least one task information associated with the at least one task based on the determining of the at least one task, wherein the determining of the at least one task information is initiated based on the at least one predefined condition, wherein the at least one contextual variable based on the at least one predefined condition further represents a condition relevant to the determining of the at least one task information, wherein the at least one contextual variable further comprises a physical state of the at least one user device, wherein the at least one user device comprises at least one sensor for generating the physical state of the at least one user device;
analyzing, using the processing device, the at least one task information;
determining, using the processing device, an expertise of the individual based on the analyzing of the at least one task information and the analyzing of the at least one individual information;
identifying, using the processing device, a domain of the expertise of the individual and a plurality of reference individuals associated with the domain based on the analyzing of the at least one individual information;
retrieving, using a storage device, a plurality of information associated with the plurality of reference individuals based on the identifying;
analyzing, using the processing device, the plurality of information;
determining, using the processing device, a comparative expertise of each of the plurality of reference individuals based on the analyzing of the plurality of information;
determining, using the processing device, at least one expertise metric for measuring the comparative expertise of each of the plurality of reference individuals based on the analyzing of the plurality of information and the determining of the comparative expertise, wherein the measuring of the comparative expertise comprises qualitatively and quantitatively measuring each of a learning state, a progressive experience, and an impact factor for each of the plurality of reference individuals;
generating, using the processing device, at least one parameter comprising at least one variable for at least one machine learning model based on the determining of the at least one expertise metric;
tuning, using the processing device, at least one machine learning algorithm of the at least one machine learning model based on the at least one variable of the at least one parameter;
generating, using the processing device, an expertise profile of the expertise of the individual using the at least one machine learning model based on the analyzing of the at least one individual information and the tuning, wherein the expertise profile characterizes the expertise of the individual based on each of the learning state, the progressive experience, and the impact factor, wherein the expertise profile comprises a value corresponding to each of the learning state, the progressive experience, and the impact factor, wherein the value corresponding to the learning state comprises one of a data stage, an information stage, a skill stage, a knowledge stage, a wisdom stage, and an enlightenment stage, wherein the at least one machine learning model is trained to provide values corresponding to the learning state, the progressive experience, and the impact factor using the at least one individual information, wherein the generating of the expertise profile is further based on the analyzing of the at least one response, wherein the generating of the expertise profile of the expertise of the individual is further based on the determining of the expertise of the individual;
transmitting, using the communication device, the expertise profile to the at least one user device; and
storing, using the storage device, the at least one individual information and the expertise profile.
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