US-20260127533-A1 - SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR GENERATING AI BASED RESUME

US20260127533A1US 20260127533 A1US20260127533 A1US 20260127533A1US-20260127533-A1

Abstract

A system, computer program product, and method comprising the steps of tracking a work or school performance and an interaction at work or participation in an educational program at an educational institution with at least one tracking module; learning a physical movement or interaction, with at least one self-learning and analytics module, derived from the work or school performance and interaction at work or participation in an educational program at an educational institution; identifying a behavioral anomaly pattern, with an AI software module, founded on the physical movement or interaction; associating a predetermined movement value as measure to the behavioral anomaly pattern; generating a digital work or school performance review by the AI software module; generating a digital resume, with a resume module, based at least on one of, the digital work or school performance review, a work or school history and a place of employment or educational institution.

Inventors

Michael Nonahal

Assignees

Michael Nonahal

Dates

Publication Date: 20260507
Application Date: 20251231

Claims (20)

1 . A non-transitory computer-readable storage medium with executable computer instructions stored thereon, wherein the computer instructions instruct one or more processors to perform a method comprising the steps of: registering, with at least one registration module or registration server, a digital profile; storing, with at least one storage module or profile database, the digital profile; detecting, with at least one detection module or company/employer information database, at least one of a place of employment and a date employment started, emanating from the digital profile; learning, with at least one self-learning and analytics module or AI software server, at least one physical movement and/or anatomical dimension; tracking or monitoring, with at least one tracking module or profiling server, a work performance derived from the at least one physical movement and/or anatomical dimension; identifying, with an AI software module or by the AI software server, a behavioral anomaly pattern predicated by the at least one physical movement and/or anatomical dimension; associating, by the AI software module or AI software server, a predetermined movement value as an observation measure to the behavioral anomaly pattern predicated by the at least one physical movement and/or anatomical dimension; generating, by the AI software module or AI software server, a digital work performance review rooted in at least one of a work performance, a behavior pattern and the behavioral anomaly pattern; recording, by the storage module or profile database, the at least one physical movement and/or anatomical dimension, the digital work performance review and work history; issuing, by the AI software module or AI software server, the digital work performance review; and generating a digital resume, with a resume module or resume server, based at least on one of digital work performance review, work history and place of employment.
2 . The method of claim 1 , further comprising the steps of: tracking, by the tracking module or profiling server, a participation in an educational program at an educational institution; analyzing, by the AI module, one or more test scores; associating, by the AI module or AI software server, the one or more test scores with classroom conduct, wherein the classroom conduct being connected with an unauthorized use of cell/mobile phone during a work or class room hour; updating, by the resume module or resume server, the digital resume based on participation in the educational program, the one or more test scores and the classroom conduct; and releasing, by a resume delivery server, the digital resume based on participation in the educational program, test score and the classroom conduct.
3 . A non-transitory computer-readable storage medium with executable computer instructions stored thereon, wherein the computer instructions instruct at least one processor to perform a method comprising the steps of: detecting, with at least one company/employer information database, a place of work or employment and date an employment started emanating from a digital profile; tracking or monitoring, with a profiling server, at least one of, a work or school performance, a work or school interaction and a behavior pattern at the place of work or employment; learning, with a self-learning and analytics module, at least one of a physical movement and anatomical dimension; identifying, with an AI software server, a behavioral anomaly pattern predicated on the at least one of physical movement and anatomical dimension; associating, by the AI software server, a predetermined movement value as an observation measure to the behavioral anomaly pattern; generating, by the AI software server, a digital work or school performance review rooted in the work or school performance, the work or school interaction, the behavior pattern and the behavioral anomaly pattern; recording, with at least one profiling database, the predetermined behavioral anomaly pattern movement value, the behavioral anomaly pattern, the digital work or school performance review and/or a work or school history; and generating, with a resume server, a digital resume based at least upon the work or school performance review, work or school attendance history and/or the place of employment or educational attainment.
4 . The method of claim 3 , further comprising the steps of: detecting, with a profile database, an enrollment date and educational institution; tracking, by the profiling server, a participation in an educational program at the educational institution; and analyzing, by the AI software server, one or more test scores learned on the tracked participation in the educational program at the educational institution.
5 . The method of claim 4 , further comprising the steps of: associating the one or more test scores, by the AI software server, with a classroom conduct; updating the digital resume, by the AI software server, based on the one or more test scores associated with the classroom conduct and participation in the educational program; and storing the digital resume, by the AI software server, based on the participation in the educational program and the one or more test scores associated with the classroom conduct.
6 . The method of claim 3 , further comprising the steps of: detecting a behavioral anomaly pattern, by the AI software server, wherein the behavioral anomaly pattern including at least one of an unauthorized use of a cell/mobile phone and struggling with being on time for work or school; updating the digital resume, by the AI software server, rooted in the digital work or school performance review; and releasing the resume, with a resume delivery server, to hiring employers.
7 . The method of claim 3 , further comprising the steps of: detecting a behavioral anomaly pattern, by the AI software server, wherein the behavioral anomaly pattern being derived from at least one of, a speed an individual walk and an unauthorized use of a cell/mobile phone; issuing a digital work or school performance review, by the AI software server, predicated on at least one of, missing work or school and being on the cell/mobile phone during a class or work hour; and releasing, with a resume delivery server, the digital resume connected with seeking employment or admissions to an educational institution.
8 . The method of claim 3 , further comprising the steps of: detecting a behavioral anomaly pattern, by the AI software server, wherein the behavioral anomaly pattern being predicated on an unauthorized use of the cell/mobile phone; issuing a digital work or school performance review, by the AI software server, derived from the unauthorized use of the cell/mobile phone; accessing and reviewing the digital resume; and updating the digital resume, by the AI software server, rooted in the digital work or school performance review.
9 . The method of claim 3 , further comprising the steps of: connecting to at least one of a digital currency processor, by the AI software, a digital register and a business management operating system; detecting at least one of an hourly and a daily revenue, by the AI software, from at least one of the digital currency processor, digital register and business management operating system; updating the work or school performance review, by the AI software, being derived from at least one of the hourly and the daily revenue to labor ratio; and updating the digital resume, by the AI software, based on the work or school performance review at the place of employment or educational institution.
10 . The method of claim 4 , further comprising the steps of: detecting a behavioral anomaly pattern, by the AI software server, wherein the detected behavioral anomaly pattern being founded on an unauthorized use of a cell/mobile phone; issuing a digital work or school performance review, by the AI software server, derived from the behavioral anomaly pattern stemming from the unauthorized use of the cell/mobile phone; and accessing and updating the digital resume, by the AI software server, based on the work or school performance review.
11 . The method of claim 3 , further comprising the steps of: detecting behavioral anomaly pattern movement value, by the AI software server, wherein the detected behavioral anomaly pattern movement value being predicated on at least one of being late for class or work and missing work or school; issuing a digital work or school performance review, by the AI software server, of the behavioral anomaly pattern movement value attributable to at least one of being late for class/work and missing school/work; and updating the digital resume, by the AI software server, based on the digital work or school performance review.
12 . The method of claim 3 , further comprising the steps of: identifying a real-time interaction and a behavioral anomaly pattern, by the AI software server, at the place of employment; and issuing a digital work or school performance review, by the AI software server, predicated on the behavioral anomaly pattern, wherein the behavioral anomaly pattern is rooted in an unauthorized use of a cell/mobile phone.
13 . The method of claim 3 , further comprising the steps of: identifying an interaction and a behavioral anomaly pattern, by the AI software server, at an educational institution; and issuing a digital school performance review based on the predetermined behavioral anomaly pattern movement value, wherein the behavioral anomaly pattern is connected with missing school.
14 . The method of claim 3 , further comprising the steps of: generating, by the AI software server, at least one of a work/school performance and work/school history review; issuing a digital work/school performance review, by the AI software server, connected with at least one of, missing work or school and being on a mobile phone during work or class hours; and updating the digital resume, by the AI software server, with the digital work/school performance review and work/school history review.
15 . The method of claim 3 , further comprising the steps of: generating a real-time interaction and behavioral anomaly pattern, by the AI software server, at an educational institution; issuing a digital work/school performance review, by the AI software server, derived from the behavioral anomaly pattern; and updating the digital resume, by the AI software server, with the generated interaction and behavioral anomaly pattern.
16 . A non-transitory computer-readable storage medium with executable computer instructions stored thereon, wherein the computer instructions instruct at least one processor to perform a method comprising the steps of: tracking a work or school performance and an interaction at work or participation in an educational program at an educational institution with at least one tracking module; learning a physical movement or interaction, with at least one self-learning and analytics module, derived from the work or school performance and interaction at work or participation in an educational program at an educational institution; identifying a behavioral anomaly pattern, with an AI software module, founded on the physical movement or interaction; associating a predetermined movement value, by the AI software module, as an observation measure to the behavioral anomaly pattern; generating a digital work or school performance review by the AI software module; recording, with at least one storage module, the predetermined movement value, the behavioral anomaly pattern and the digital work or school performance review; generating a digital resume, with a resume module, based at least on one of, the digital work or school performance review, a work or school history and a place of employment or educational institution; and releasing the digital resume, with the resume module, to an employer or educational institution.
17 . The method of claim 16 , further comprising the steps of: detecting behavioral anomaly pattern including at least one of theft or stealing; and updating the digital work or school performance review based on the detected behavioral anomaly pattern.
18 . The method of claim 16 , further comprising the steps of: detecting behavioral anomaly pattern, with the AI software module, wherein the behavioral anomaly pattern being attributable to at least one of, a speed an individual walk, a posture and a use of cell/mobile phone; and updating the digital resume, with the AI software module, wherein the digital resume is derived from the behavioral anomaly pattern.
19 . The method of claim 18 , further comprising the steps of: issuing a digital work or school performance review, with the AI software module, wherein the digital work or school performance review being grounded in at least one of, being on time, missing work or school and being on a mobile phone during class or work hours; and updating the digital resume, with the AI software module, wherein the digital resume is predicated on the digital work or school performance review.
20 . The method of claim 16 , further comprising the steps of: connecting to at least one of a digital currency processor, a digital register and a business management operating system by the AI software module; and detecting at least one of an hourly and a daily revenue by the AI software module from at least one of the digital currency processor, digital register and business management operating system.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS The present Utility patent application claims priority benefit of the U.S. nonprovisional application for patent Ser. No. 18/929,882, filed on Oct. 29, 2024, entitled “A System, Method and Computer Program Product for Generating AI Based Resume”. The contents of this/these related patent application(s) is/are incorporated herein by reference for all purposes to the extent that such subject matter is not inconsistent herewith or limiting hereof. FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT Not applicable. REFERENCE TO SEQUENCE LISTING, A TABLE, OR A COMPUTER LISTING APPENDIX Not applicable. COPYRIGHT NOTICE A portion of the disclosure of this patent document contains material that is subject to copyright protection by the author thereof. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or patent disclosure for the purposes of referencing as patent prior art, as it appears in the Patent and Trademark Office, patent file or records, but otherwise reserves all copyright rights whatsoever. BACKGROUND OF THE RELEVANT PRIOR ART One or more embodiments of the invention generally relate to artificial intelligence (AI) resume generator. More particularly, certain embodiments of the invention relate to image recognition that uses Artificial Intelligence (AI) configured to auto-generate work performance reviews of individual staff as well as digitally record work and educational experience details as part of real-time resume generator. The following background information may present examples of specific aspects of the prior art (e.g., without limitation, approaches, facts, or common wisdom) that, while expected to be helpful to further educate the reader as to additional aspects of the prior art, is not to be construed as limiting the present invention, or any embodiments thereof, to anything stated or implied therein or inferred thereupon. The following is an example of a specific aspect in the prior art that, while expected to be helpful to further educate the reader as to additional aspects of the prior art, is not to be construed as limiting the present invention, or any embodiments thereof, to anything stated or implied therein or inferred thereupon. By way of educational background, another aspect of the prior art generally useful to be aware of is that a person has to manually write their work history and work performance to create a work resume. An individual may inflate and lie about their work history, work performance in their resume. Nearly 85% of hiring managers say they caught a lie on a resume. There is currently no way for a work place individual staff's work performance to be evaluated instantly and accurately on a day-to-day basis without direct staff oversight. Staff are fired for incorrect reasons which leads to lawsuits. Staff sometimes accuse their employers of improper dismissal without proper documentation of wrong doing. There is currently no standardized accurate way to measure each staff member individual work performance going from work place to another work place. There is no way an employer may expect to hire a qualified employee without an accurate resume. Employees may withhold certain unfavorable work experience in their resume without future employers knowing about it. Inaccurate resumes contribute to a constant employee turnover in the work force. Staff may conceal their work place conduct when they are not being supervised by another staff. Supervising staff conduct requires additional staffing, which may be expensive. There are not enough incentives for staff to maintain successful work performance. Employers would have to waste time contacting previous employers for wok applicant references. Previous Employers cannot remember specific problems with their previous employee when contacted for references. Business owners may be hiring individuals with inaccurate resumes. Business owners cannot get an accurate reference on an employee from the previous employer because the previous employer may not be available or management may have changed. There may be no accurate history of employees'work history available. References may be inaccurate. In view of the foregoing, it is clear that these traditional techniques are not perfect and leave room for more optimal approaches. BRIEF DESCRIPTION OF THE DRAWINGS The present invention is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar elements and in which: FIG. 1A is an illustration of an exemplary AI based system for automatically generating individual resume, in accordance with an embodiment of the present invention; FIG. 1B is an illustration of an exemplary AI based software module for automatically generating individual resume, in accordance with an embodiment of the present invention; FIG. 2 is an illustration of an exemplary image recognit