Artificial intelligence based (ai-based) computing system and method for accreditation of industrial professionals

An artificial intelligence based (AI-based) computing method for accreditation of industrial professionals, the AI-based computing method comprising:

• creating, by one or more hardware processors, a user profile for each of one or more registered users using one or more user credentials, wherein the one or more registered users belong to one or more industries;
• assigning, by the one or more hardware processors, an identification label to each of the created user profile, wherein the identification label comprises contact details of the one or more registered users and an industrial license number, and wherein the identification label is associated with at least one of:
• a bar code, a quick response (QR) code, a numeric code, an alpha-numeric code, and a graphical code;
• providing, by the one or more hardware processors, access to continuing industrial education content to the one or more registered users based on the created user profile;
• scanning, identifying and collecting, by the one or more hardware processors, information related to the continuing industrial education content and associated activities occurring in a specified location based on an information crawler;
• augmenting, by the one or more hardware processors, a keyword searching module and a filtering module, to generate optimized search recommendations based on at least one of:
• the created user profile and one or more behavioral patterns of the one or more registered users, using a natural language processing model;
• providing, by the one or more hardware processors, AI-based personalized recommendations on the continuing industrial education content in priority using an AI model trained to predict user preferences based on one or more historical data comprising at least one of:
• one or more industry types, one or more user interests, one or more geographic locations, and one or more educational goals;
• managing, by the one or more hardware processors, one or more tasks associated with the user profile relating to the continuing industrial education content responsive to providing the access, wherein managing the one or more tasks comprises a continuous development reckoner, and wherein the continuous development reckoner achieves set targets, provides license renewal support, and plans specific number of knowledge and training programs;
• generating, by the one or more hardware processors, a credit score for each of the user profile based on the one or more tasks completed by the one or more registered users, using the AI model;
• generating, by the one or more hardware processors, professional development score for each of the user profile based on one or more factors upon completion of the one or more tasks using the AI model, wherein the one or more factors comprises at least one of:
• continuing industrial education history, number of years of schooling and college education, total levels of continuing professional development courses, and employment history;
• generating, by the one or more hardware processors, one or more reports on each of the one or more tasks completed by the one or more registered users relating to the continuing industrial education content;
• and
• publishing, by the one or more hardware processors, the generated one or more reports to the one or more registered users and other industrial authorities via a communications network.

A non-transitory computer-readable storage medium having instructions stored therein that, when executed by a hardware processor, cause the hardware processor to perform method steps comprising:

• creating a user profile for each of one or more registered users using one or more user credentials, wherein the one or more registered users belong to one or more industries,
• assigning an identification label to each of the created user profile, wherein the identification label comprises contact details of the one or more registered users and an industrial license number, and wherein the identification label is associated with at least one of:
• a bar code, a quick response (QR) code, a numeric code, an alpha-numeric code, and a graphical code;
• providing access to continuing industrial education content to the one or more registered users based on the created user profile;
• scanning, identifying and collecting, information related to the continuing industrial education content and associated activities occurring in a specified location based on an information crawler;
• augmenting a keyword searching module and a filtering module, to generate optimized search recommendations based on at least one of:
• the created user profile and one or more behavioral patterns of the one or more registered users, using a natural language processing model;
• providing AI-based personalized recommendations on the continuing industrial education content in priority using an AI model trained to predict user preferences based on one or more historical data comprising at least one of:
• one or more industry types, one or more user interests, one or more geographic locations, and one or more educational goals;
• managing one or more tasks associated with the user profile relating to the continuing industrial education content responsive to providing the access, wherein managing the one or more tasks comprises a continuous development reckoner, and wherein the continuous development reckoner achieves set targets, provides license renewal support, and plans specific number of knowledge and training programs;
• generating a credit score for each of the user profile based on the one or more tasks completed by the one or more registered users, using the AI model;
• generating professional development score for each of the user profile based on one or more factors upon completion of the one or more tasks using the AI model, wherein the one or more factors comprises at least one of:
• continuing industrial education history, number of years of schooling and college education, total levels of continuing professional development courses, and employment history;
• generating one or more reports on each of the one or more tasks completed by the one or more registered users relating to the continuing industrial education content;
• and
• publishing the generated one or more reports to the one or more registered users and other industrial authorities via a communications network.