DESC:TECHNICAL FIELD
The present disclosure relates to the field of a centralized digital system and method for skill management and career navigation that aids in improving employability. Particularly, the present disclosure relates to the centralized digital system that includes a server to facilitate showcasing of professionals' or individuals' skill sets and helps them navigate their career paths by acquiring new skills and maintaining an up-to-date career profile. More particularly, the present disclosure relates to the centralized digital system for "Human Resources Technology" or " Skill Management Technology” that facilitates monitoring of professionals or individuals skill sets and that of the local or global workforce marketplace, allowing them to monitor and match their skills with the needs of potential employers or opportunities.
BACKGROUND
Generally, in today's fast-paced and competitive job market, it is crucial for professionals or individuals to continuously monitor, develop and keep updating their skill sets to remain relevant and target new opportunities. However, keeping track of one's skills and professional growth can be challenging, as traditional medium like resumes or CVs or Career Profile emphasizes more on -- Name of organization, Title, and description of work carried out in a work setting -- but often fails to capture the skills that were applied in performing their duties in a work setting. And likewise, resumes or CVs or Career Profile highlights Name of Institution/Agency, Name of Degree/Subject and in some cases grade point average or percentage average but does not tell much what specific skills that were acquired in a learning environment.
Further, the traditional methods of capturing and showcasing one's career and professional growth, such as resumes or CVs or Career Profile, often fall short in providing a comprehensive and dynamic representation of a professionals or individuals abilities and achievements via a skills applied in a work setting and/or skills acquired in a learning environment route. Resumes or CVs or Career Profile typically provide a static and limited snapshot of an individual's employment history and education and training qualifications. Again, highlighting name of a company, job titles, responsibilities, and educational backgrounds, which may not adequately convey the breadth and depth of an individual's skills, expertise, and potential that may or may not be relevant as the needs in the marketplace keep changing. As a result, employers and recruiters may face challenges in accurately assessing a candidates’ suitability for a particular role or project based solely on these current traditional documents, viz., resumes, CVs or Career Profile.
Accordingly, there exists a need for a centralized digital system and process for talent /skill management and career navigation to aid employability opportunities for professionals and individuals as the expected future of employment is skills centric that are projects/programs/activities based and to a lesser extent as full-time work, as is the norm today.
SUMMARY
In one aspect of the present disclosure, a system is provided.
The system includes a first user device that is adapted to receive one or more inputs provided by skill owner, a second user device that is adapted to validate one or more inputs provided by the skill owner by a skill validator, a third user device that is adapted to receive one or more inputs validated by the skill validator. The system further includes processing circuitry that is communicatively coupled with the first user device, a second user device, and a third user device. The processing circuitry is configured to collect one or more inputs provided by the skill owner. The processing circuitry is further configured to validate one or more inputs associated with the skill owner by way of the skill validator through the second user device. The processing circuitry is further configured to communicate the validated and shortlisted skill owner to a skill seeker by way of the third user device. The processing circuitry is further configured to validate suggest one or more skill oriented training suggestions to the skill owner based on the requirements of the skill seeker or one or more skill oriented training suggestions to the skill owner directly from the skilling agency based on employment market trends.
In some aspects of the present disclosure, the processing circuitry is further configured to generate detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness and overall processed outcomes.
In some aspects of the present disclosure, the first user device, the second user device, and the third user device employs blockchain to ensure the integrity and immutability of the skill validation records.
In some aspects of the present disclosure, the processing circuitry includes a machine learning model trained on historical data to predict the best match between skill owners and skill seekers as well as skilling agency
In some aspects of the present disclosure, the processing circuitry is configured to analyze skill seeker requirements and suggests appropriate skill development programs to skill owners.
In some aspects of the present disclosure, the processing circuitry employs sentiment analysis to gauge the feedback from skill seekers and adjust recommendations for skill owners accordingly.
In some aspects of the present disclosure, the processing circuitry incorporates predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners.
In second aspect of the present disclosure, a process for managing skill and talent validation by way of a system is provided.
The method includes receiving one or more inputs from a skill owner by way of the a first user device. The method further includes validating the one or more inputs provided by the skill owner through a second user device by way of the a skill validator. The method further includes communicating the validated and shortlisted skill owner to a skill seeker by way of the a third user device. The method further includes suggesting one or more skill-oriented training programs to the skill owner based on the requirements of the skill seeker by way of the processing circuitry. The method further includes generating detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness by way of the processing circuitry.
In some aspects of the present disclosure, the process further includes employing blockchain technology within the first user device, the second user device, and the third user device to ensure the integrity and immutability of the skill validation records.
In some aspects of the present disclosure, the process further includes utilizing a machine learning model trained on historical data to predict the best match between skill owners and skill seekers by way of the processing circuitry.
In some aspects of the present disclosure, the process further includes analyzing skill seeker requirements and suggesting appropriate skill development programs to skill owners by way of the processing circuitry.
In some aspects of the present disclosure, the process further includes employing sentiment analysis to gauge feedback from skill seekers and adjust recommendations for skill owners accordingly by way of the processing circuitry.
In some aspects of the present disclosure, the process further includes incorporating predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners by way of the processing circuitry.
BRIEF DESCRIPTION OF DRAWINGS
The manner in which the features, advantages and objects of the disclosure, as well as others which will become apparent, may be understood in more detail, more particular description of the disclosure briefly summarized above may be had by reference to the embodiment thereof which is illustrated in the appended drawings, which form a part of this specification. It is to be noted, however, that the drawings illustrate only a preferred embodiment of the disclosure and is therefore not to be considered limiting of the disclosure’s scope as it may admit to other equally effective embodiments.
Figure 1 illustrates a centralized digital system, in accordance with an aspect of the present disclosure; and
Figure 2 illustrates a method of the centralized digital system, in accordance with an aspect of the present disclosure.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
Various embodiments of the disclosure are discussed in detail below. While specific implementations are discussed, it should be understood that this is done for illustration purposes only. A person skilled in the relevant art will recognize that other components and configurations may be used without parting from the spirit and scope of the disclosure. Thus, the following description and drawings are illustrative and are not to be construed as limiting. Numerous specific details are described to provide a thorough understanding of the disclosure. However, in certain instances, known details are not described in order to avoid obscuring the description.
References to one or an embodiment in the present disclosure can be references to the same embodiment or any embodiment; and such references mean at least one of the embodiments.
Reference to "one embodiment", "an embodiment", “one aspect”, “some aspects”, “an aspect” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which may be exhibited by some embodiments and not by others.
The terms used in this specification generally have their ordinary meanings in the art, within the context of the disclosure, and in the specific context where each term is used. Alternative language and synonyms may be used for any one or more of the terms discussed herein, and no special significance should be placed upon whether or not a term is elaborated or discussed herein. In some cases, synonyms for certain terms are provided.
A recital of one or more synonyms does not exclude the use of other synonyms.
The use of examples anywhere in this specification including examples of any terms discussed herein is illustrative only and is not intended to further limit the scope and meaning of the disclosure or of any example term. Likewise, the disclosure is not limited to various embodiments given in this specification. Without intent to limit the scope of the disclosure, examples of instruments, apparatus, methods, and their related results according to the embodiments of the present disclosure are given below. Note that titles or subtitles may be used in the examples for convenience of a reader, which in no way should limit the scope of the disclosure. Unless otherwise defined, technical and scientific terms used herein have the meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. In the case of conflict, the present document, including definitions will control.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or can be learned by practice of the herein disclosed principles. The features and advantages of the disclosure can be realized and obtained by means of the instruments and combinations particularly pointed out in the appended claims. These and other features of the disclosure will become more fully apparent from the following description and appended claims or can be learned by the practice of the principles set forth herein.
The present disclosure relates generally to a centralized digital system, more specifically a server in form of mobile application or a web-based software for talent management, improved employability, and career navigation to bridge the gap between individuals and the local or global workforce marketplace, allowing them to match their skills with the needs of potential employers or opportunities.
Skill - A competency acquired via education/training in a learning environment and/or applied via direct work experience in a work setting that has relevance and demand/need in the real-world work environment where deployment of a skill should directly contribute to monetization/ value of some form to target stakeholders.
Skill Owner - Applicant/ Candidate that possess skills and would like to offer it to opportunities/projects/programs/activities/jobs/employment.
Skill Seeker - Individual/ Corporate/ Institution/ Agency whose profession is to recruit/ hire candidates for self/ for their clients with an end purpose of employment/job/project/program/activity/opportunity irrespective of duration and nature of contract.
Skill Validator - Individual/ Corporate/ Institution/ Agency that has been specifically requested by the Skill Owner (Applicant/ Candidate) to endorse/ validate/ corroborate a specific skill—applied in a work setting and/or acquired in a learning environment--by the Skill Owner.
Skilling Agency - Individual/ Corporate/ Institution/ Agency whose business is to impart skills/ training/knowledge/ education on a subject matter that has relevance and demand/need in the real-world work environment.
Government / Agency - Any Government / agency that has responsibility for skills development in the workforce of the country as a whole or a target population and to track and monitor the outcomes of targeted skills development programs with employment trends and all other related matters that influences the changes in job creation and unemployment percentage.
Support Agency - Support Agency is an indirect participant in that they are available for the benefit of all participants. Any participant can avail themselves of services from the Support Agency. For example, it is expected that Skill Owner may opt for Support Agency in the process of getting skills validated. Other participants may see purpose in utilizing the services of the Support Agency for a specific need like KYC or background check or one or more attestation services. Participants may liaise directly with the Support Agency to obtain their required support services.
Figure 1 illustrates a centralized digital system 100 for skill management, matching employment opportunities and navigating career outcomes, in accordance with an aspect of the present disclosure. The term “System 100” and the term “centralized digital system 100” are interchangeably used across the context.

The system 100 includes a first user device 102, a second user device 104, a third user device 106, a fourth user device 108, a fifth user device 110, a sixth user device 112, and a server 114.
The first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, the sixth user device 112, and the server 114 may be coupled with each other by way of a communication network 116.
In some other aspects of the present disclosure, the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112, and the server 114 may be communicably coupled through separate communication networks established therebetween. In some aspects of the present disclosure, the communication network 116 may include suitable logic, circuitry, and interfaces that may be configured to provide a plurality of network ports and a plurality of communication channels for transmission and reception of data related to operations of various entities of the system 100.
Each network port may correspond to a virtual address (or a physical machine address) for the transmission and reception of the communication data. For example, the virtual address may be an Internet Protocol Version 4 (IPV4) (or an IPV6 address), and the physical address may be a Media Access Control (MAC) address. The communication network may be associated with an application layer for implementation of communication protocols based on one or more communication requests from the input device and the server. The communication data may be transmitted or received via the communication protocols. Examples of the communication protocols may include, but are not limited to, Hypertext Transfer Protocol (HTTP), File Transfer Protocol (FTP), Simple Mail Transfer Protocol (SMTP), Domain Network System (DNS) protocol, Common Management Interface Protocol (CMIP), Transmission Control Protocol and Internet Protocol (TCP/IP), User Datagram Protocol (UDP), Long Term Evolution (LTE) communication protocols, or any combination thereof.
In some aspects of the present disclosure, the communication data may be transmitted or received via at least one communication channel of a plurality of communication channels in the communication network. The communication channels may include but are not limited to, a wireless channel, a wired channel, or a combination of wireless and wired channel thereof. The wireless or wired channel may be associated with data standards which may be defined by one of a Local Area Network (LAN), a Personal Area Network (PAN), a Wireless Local Area Network (WLAN), a Wireless Sensor Network (WSN), Wireless Area Network (WAN), Wireless Wide Area Network (WWAN), a metropolitan area network (MAN), a satellite network, the Internet, a fiber optic network, a coaxial cable network, an infrared (IR) network, a radio frequency (RF) network, and a combination thereof. Aspects of the present disclosure are intended to include or otherwise cover any type of communication channel, including known, related art, and/or later developed technologies.
The first user device 102 may be adapted to receive one or more inputs provided by the skill owner, share one or more results, and/or transmit data within the system 100. The first user device 102 may further be adapted to display one or more output to the skill owner. It will be apparent to a person of ordinary skill in the art that the skill owner may be any person using or operating the system 100, without deviating from scope of the disclosure.
The second user device 104 may be adapted to receive one or more inputs provided by the skill validator, share one or more results, and/or transmit data within the system 100. The second user device 104 may further be adapted to display one or more output to the skill validator. It will be apparent to a person of ordinary skill in the art that the skill validator may be any person using or operating the system 100, without deviating from scope of the disclosure.
The third user device 106 may be adapted to receive one or more inputs provided by the skill seeker, share one or more results, and/or transmit data within the system 100. The third user device 106 may further be adapted to display one or more output to the skill seeker. It will be apparent to a person of ordinary skill in the art that the skill seeker user may be any person using or operating the system 100, without deviating from scope of the disclosure.
The fourth user device 108 may be adapted to receive one or more inputs provided by the skill providing agency, share one or more results, and/or transmit data within the system 100. The fourth user device 108 may further be adapted to display one or more output to the skill providing agency. It will be apparent to a person of ordinary skill in the art that the skill providing agency may be any person using or operating the system 100, without deviating from scope of the disclosure.
The fifth user device 110 may be adapted to receive one or more inputs provided by support agency, share one or more results, and/or transmit data within the system 100. The fifth user device 110 may further be adapted to display one or more output to the support agency. It will be apparent to a person of ordinary skill in the art that the user may be any person using or operating the system 100, without deviating from scope of the disclosure.
The sixth user device 112 may be adapted to receive one or more inputs provided by government agency, share one or more results, and/or transmit data within the system 100. The sixth user device 112 may further be adapted to display one or more output to the government agency. It will be apparent to a person of ordinary skill in the art that the government agency may be any person using or operating the system 100, without deviating from scope of the disclosure.
Examples of the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112
may include but are not limited to, a desktop, a notebook, a laptop, a handheld computer, a touch-sensitive device, a keyboard, a microphone, a mouse, a joystick, a computing device, a smart-phone, and/or a smartwatch. It may be apparent to a person of ordinary skill in the art that the input device may include any device/apparatus that is capable of manipulation by the user.
Each of the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, the sixth user device 112, and the server 114 may include an input unit (not shown), an output unit (not shown), a memory unit (not shown), a processor (not shown), and a communication unit (not shown).
The input unit and the output unit are adapted to receive one or more inputs provided by a respective user and visually represent one or more outputs to the respective user.
In some aspects of the present disclosure, the input unit may include but is not limited to, a touch interface, a mouse, a keyboard, a motion recognition unit, a gesture recognition unit, a voice recognition unit, or the like. Aspects of the present disclosure are intended to include and/or otherwise cover any type of interface, including known, related, and later developed interfaces.
The output unit may be adapted for display or visually represent (or presenting) an output to the user. The output unit may be adapted to represent outputs to the user. The output unit further be adapted to represent one or more alarm indication to the user. In some aspects of the present disclosure, the output unit may include but is not limited to, a display device, a printer, a projection device, and/or a speaker. In some other aspects of the present disclosure, the output interface may include but is not limited to, a digital display, an analog display, a touch screen display, a graphical user interface, a website, a webpage, a keyboard, a mouse, a light pen, an appearance of a desktop, and/or illuminated characters.
The communication unit may be configured to enable the input device to communicate with the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112 and other components of the system 100 over a communication network 116, according to an aspect of the present disclosure. In some aspects of the present disclosure, the communication unit may be one of but is not limited to, a modem, a network interface such as an Ethernet card, a communication port, and/or a Personal Computer Memory Card International Association (PCMCIA) slot and card, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit.
In some aspects of the present disclosure, the communication unit 112 may enable the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112 to communicate with other (e.g., remote) user device(s) or with a server 114 by way of the communication network 116, including when the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112 are in the connected standby mode. The other user device(s) can include, for instance, laptop(s), tablet(s), smartphone(s), etc. The communication interface(s) can detect and/or establish communication with the other user device(s) via one or more communication protocols such as Wi-Fi Direct, Bluetooth®, ultrasound beaconing, and/or other communication protocols that provide for peer-to-peer access between devices.
In some aspects of the present disclosure, the output unit is also capable of supporting display mode switching function for switching between portrait mode and landscape mode according to the rotation direction (or orientation) of the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112.
The output unit can be implemented any of a Liquid Crystal Display (LCD), a Thin Film Transistor LCD (TFT LCD), a Light Emitting Diode (LED), an Organic LED (OLED), an Active Matrix OLED (AMOLED), a flexible display, a bended display, a 3Dimensional (3D) display, and the like. Aspects of the present disclosure are intended to include, known, well developed and later developed output units. The output unit can be implemented as a transparent or semi-transparent unit through which the light penetrates.
The communication unit may be adapted to transfer the input signals collected from the any of the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112. The first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112 may further be configured to share the collected input signals outside the respective devices.
The memory may be configured to store logic, instructions, circuitry, interfaces, and/or codes of the processing circuitry to enable the processing circuitry to execute the one or more operations associated with the system. The memory may be further configured to store therein, data associated with the user device 102, and the like. It will be apparent to a person having ordinary skill in the art that the storage unit may be configured to store various types of data associated with the user device 100, without deviating from the scope of the present disclosure. Examples of the storage unit may include but are not limited to, a Relational database, a NoSQL database, a Cloud database, an Object-oriented database, and the like. Further, the storage unit may include associated memories that may include, but is not limited to, a Read-Only Memory (ROM), a Random Access Memory (RAM), a flash memory, a removable storage drive, a hard disk drive (HDD), a solid-state memory, a magnetic storage drive, a Programmable Read Only Memory (PROM), an Erasable PROM (EPROM), and/or an Electrically EPROM (EEPROM). Embodiments of the present disclosure are intended to include or otherwise cover any type of the memory 114 206 including known, related art, and/or later developed technologies. In some embodiments of the present disclosure, a set of centralized or distributed networks of peripheral memory devices may be interfaced with the server 104, as an example, on a cloud server.
The processing unit may be configured to execute various operations associated with the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112. Specifically, the processing unit may be configured to execute the one or more operations associated with the first user device 102, the second user device 104, the third user device 106, the fourth user device 108, the fifth user device 110, and the sixth user device 112 by communicating one or more commands and/or instructions over the communication network to the input device and the server. Examples of the processing unit may include, but are not limited to, an application-specific integrated circuit (ASIC) processor, a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a field-programmable gate array (FPGA), a Programmable Logic Control unit (PLC), and the like. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the processing unit 116 including known, related art, and/or later developed technologies. The processing unit 116 described herein as used by programmable logic controllers may include one or more central processing units (CPUs), graphical processing units (GPUs), or any other processor known in the art. More generally, a processing unit 116 as used herein is a device for executing machine-readable instructions stored on a computer readable medium, for performing tasks and may comprise any one or combination of, hardware and firmware. A processing unit may also comprise memory storing machine-readable instructions executable for performing tasks. A processing unit acts upon information by manipulating, analyzing, modifying, converting or transmitting information for use by an executable procedure or an information device, and/or by routing the information to an output device. A processing unit may use or comprise the capabilities of a computer, controller or microprocessor, for example, and be conditioned using executable instructions to perform special purpose functions not performed by a general purpose computer. A processing unit may be coupled (electrically and/or as comprising executable components) with any other processing unit enabling interaction and/or communication there-between. A user interface processing unit or generator is a known element comprising electronic circuitry or software or a combination of both for generating display images or portions thereof. A user interface comprises one or more display images enabling user interaction with a processor or other device.
Various devices described herein including, without limitation, the programmable logic controllers and related computing infrastructure may comprise at least one computer readable medium or memory for holding instructions programmed according to embodiments of the invention and for containing data structures, tables, records, or other data described herein. The term “computer readable medium” as used herein refers to any medium that participates in providing instructions to one or more processors for execution. A computer readable medium may take many forms including, but not limited to, non-transitory, non-volatile media, volatile media, and transmission media. Non-limiting examples of non-volatile media include optical disks, solid state drives, magnetic disks, and magneto-optical disks. Non-limiting examples of volatile media include dynamic memory. Non-limiting examples of transmission media include coaxial cables, copper wire, and fiber optics, including the wires that make up a system bus. Transmission media may also take the form of acoustic or light waves, such as those generated during radio wave and infrared data communications.
An executable application, as used herein, comprises code or machine readable instructions for conditioning the processing unit to implement predetermined functions, such as those of an operating system, a context data acquisition system or other information processing system, for example, in response to user command or input. An executable procedure is a segment of code or machine readable instruction, sub-routine, or other distinct section of code or portion of an executable application for performing one or more particular processes. These processes may include receiving input data and/or parameters, performing operations on received input data and/or performing functions in response to received input parameters, and providing resulting output data and/or parameters.
The functions and process steps herein may be performed automatically, wholly or partially in response to user command. An activity (including a step) performed automatically is performed in response to one or more executable instructions or device operation without user direct initiation of the activity.
The server 114 is configured to collect the one or more inputs provided by the skill owner. The server 114 is further be configured to validate the one or more inputs associated with the skill owner by way of the skill validator through the second user device 104. The server 114 is further be configured to communicates the validated and shortlisted skill owner to a skill seeker by way of the third user device 106. The server 114 is further be configured to suggest one or more skill-oriented training suggestions to the skill owner based on the requirements of the skill seeker. In some aspects of the present disclosure, the server 114 maintains an occupational data dictionary on a localized basis.
The server 114 includes an I/O interface 118, a network interface 120, a storage unit 121 and a processing circuitry 122.
The I/O interface 118, the network unit 120, the storage unit 121, and the processing circuitry 122 are communicatively coupled with each other by way of a first communication bus 121.
The I/O interface 118 may include suitable logic, circuitry, interfaces, and/or code that may be configured to receive inputs (e.g., orders) and transmit server outputs via a plurality of data ports in the server. The I/O interface 118 may include various input and output data ports for different I/O devices. Examples of such I/O devices may include but are not limited to, a touch screen, a keyboard, a mouse, a joystick, a projector audio output, a microphone, an image- capture device, a liquid crystal display (LCD) screen, and/or a speaker.
The network interface 120 may include suitable logic, circuitry, and interfaces that may be configured to establish and enable a communication between the server and different components of the system 100. The network interface 120 may be implemented by use of various known technologies to support wired or wireless communication of the information processing device with the communication network. The network interface 120 may include, but is not limited to, an antenna, a radio frequency (RF) transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a coder-decoder (CODEC) chipset, a subscriber identity module (SIM) card, and a local buffer circuit.
The storage unit 121 may be configured to store logic, instructions, circuitry, interfaces, and/or codes of the processing circuitry to enable the processing circuitry to execute the one or more operations associated with the system 100. The storage unit 121 may be further configured to store therein, data associated with the server 114, and the like. It will be apparent to a person having ordinary skill in the art that the storage unit may be configured to store various types of data associated with the server 114, without deviating from the scope of the present disclosure. Examples of the storage unit 121 may include but are not limited to, a Relational database, a NoSQL database, a Cloud database, an Object-oriented database, and the like. Further, the storage unit may include associated memories that may include, but is not limited to, a Read-Only Memory (ROM), a Random Access Memory (RAM), a flash memory, a removable storage drive, a hard disk drive (HDD), a solid-state memory, a magnetic storage drive, a Programmable Read Only Memory (PROM), an Erasable PROM (EPROM), and/or an Electrically EPROM (EEPROM). Embodiments of the present disclosure are intended to include or otherwise cover any type of the storage unit 206 including known, related art, and/or later developed technologies.
The processing circuitry 122 is configured to collect the one or more inputs provided by the skill owner. The processing circuitry 122 is further configured to validate the one or more inputs associated with the skill owner by way of the skill validator through the second user device 104. The processing circuitry 122 is further be configured to communicates the validated and shortlisted skill owner to a skill seeker by way of the third user device 106. The processing circuitry 122 is further configured to suggest one or more skill-oriented training suggestions to the skill owner based on the requirements of the skill seeker. The processing circuitry 122 is further configured to generate detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness. The processing circuitry 122 is further configured to analyze skill seeker requirements and suggests appropriate skill development programs to skill owners. The processing circuitry 122 is further configured to employ sentiment analysis to gauge the feedback from skill seekers and adjust recommendations for skill owners accordingly. The processing circuitry 122 is further configured to incorporate predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners.
In some aspects of the present disclosure, the first user device 102, the second user device 104, and the third user device 106, the fourth user device 108, the fifth user device 110, the sixth user device 112, and the server 114 employs blockchain to ensure the integrity and immutability of the skill validation records. In some aspects of the present disclosure, the processing circuitry may include a machine learning model trained on historical data to predict the best match between skill owners and skill seekers.
The processing circuitry includes a collection engine 126, an Artificial Intelligence engine 128, a suggestion engine 130, a report generation engine 132, a skill analyzing engine 134, and a recommendation engine 136.
The collection engine 126 is configured to collect the one or more inputs provided by the skill owner.
The Artificial Intelligence engine 128 configured to validate the one or more inputs associated with the skill owner by way of the skill validator through the second user device 104. The Artificial Intelligence engine 128 is further configured to communicates the validated and shortlisted skill owner to a skill seeker by way of the third user device 106. It is another objective of the present disclosure the Artificial Intelligence engine 128 enables individuals or professionals to showcase their skill sets based primarily on two broad settings or environment: one, how and where the individual or professional ‘applied’ the skill—typically, in a work environment/setting and two, how and where the individual or professional ‘acquired’ the skill—typically, in a learning environment/setting. Further, the individual or professional has the option to get validation of each skill at source to capture traceability or source of each skill. The centralized digital system 100 further configured to allows individuals or professionals to keep updating their entries in near real-time basis to derive maximum benefits of improved employment opportunities in line with the changing needs of the marketplace.
It is another objective of the present disclosure, the Artificial Intelligence engine 128 is configured to allows individuals, corporations (like, HR), institutions (like, Head Hunters), or hiring/recruiting agencies to ease the overall process of identifying/sourcing, short-listing and recruiting or hiring of individuals or professional/candidates by searching and matching opportunities with the skills showcased by Skill Owners, thereby facilitating efficient talent/skill acquisition. Further, the Skill Seeker, to derive direct benefit as well as shorten the processing time can present their available opportunities based on skill sets needed that would enable and enhance the search and match from within the Skill Owner pool thereby improving productivity and the overall hiring process efficiency.
It is another objective of the present disclosure, the Artificial Intelligence engine 128 is configured to allow the Skill Owners to obtain validation(s) for each of their skills from individuals, corporations, institutions, or agencies—ideally at source, to authenticate the origin of where and how the Skill Owner applied the skill if in a work setting and/or acquire the skill if in a learning environment. Further if a Skill Owner is able to complete the validation process for each skill, it enhances the credibility and marketability of the showcased skills of the Skill Owner. Further also, it is planned to provide an option to blockchain such validated skills of the Skill Owner to create a permanent immutable public record that creates an inherent value for the Skill Owner.
It is another objective of the present disclosure, the Artificial Intelligence engine 128 is configured to provides a wide range of skilling and training and development programs including conventional degree offering educational institutions to individuals seeking to acquire new skills including upskilling/reskilling, certification, licensure, training & development, and education leading to conventional degrees on subjects that are in demand based on changing needs in the jobs/employment marketplace.
It is another objective of the present disclosure, the Artificial Intelligence engine 128 is configured to utilizes employment data and trends to identify skill requirements and/or gaps and implement targeted skills development/enhancement initiatives and programs to address unemployment and needs of targeted workforce that enhances economic development. Further, the report generation engine 132 can measure the impact of their targeted skills development/enhancement initiatives and programs by tracking and monitoring pre- and post-intervention outcomes.
It is another objective of the present disclosure, the Artificial Intelligence engine 128 is configured to offers diverse support services to all participants, viz., Skill Owner, Skill Seeker, Skill Validator, Skilling Agency, Government Agency, including skill validation assistance, career counseling, and other resources aimed at fulfilling data completion requirements and for enhancing their career navigation prospects. Further, through the Support Agency module the participants can be assisted in background checks, employment verification, agencies providing financial assistance for education, training, certification, and specific skilling programs—all such services that would enable the participants to obtain better value from the overall offering.
The suggestion engine 130 is configured to suggest one or more skill-oriented training suggestions to the skill owner based on the requirements of the skill seeker.
The report generation engine 132 is configured to generate detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness.
The skill analyzing engine 134 is configured to analyze skill seeker requirements and suggests appropriate skill development programs to skill owners.
The recommendation engine 136 is configured to employ sentiment analysis to gauge the feedback from skill seekers and adjust recommendations for skill owners accordingly. The recommendation engine 136 is further configured to incorporate predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners.
In some aspects of the present disclosure, the first user device 102, the second user device 104, and the third user device 106, the fourth user device 108, the fifth user device 110, the sixth user device 112, and the server 114 employs blockchain to ensure the integrity and immutability of the skill validation records. In some aspects of the present disclosure, the processing circuitry 132 may include a machine learning model trained on historical data to predict the best match between skill owners and skill seekers.

In an exemplary scenario, when a skill seeker provides an input representing requirement of machine learning expert, the collection engine 126 collects input data provided by the skill seeker by way of the third user device 106 and further matches with the one or more inputs provided by the skill owner though the first user device 102. The artificial intelligence engine 128 is configured to analyze the authenticity of the input data provided by the skill owner. The artificial intelligence engine 128 is further configured to validate the one or more inputs associated with the skill owner by way of the skill validator through the second user device 104. The Artificial Intelligence engine 128 is further configured to communicates the validated and shortlisted skill owner to a skill seeker by way of the third user device 106. When the input provided by the skill seeker such as skill set is not matched by the skill owner, the suggestion engine 130 is configured to suggest one or more skill-oriented training suggestions to the skill owner based on the requirements of the skill seeker by communicating thorough skilling agency 108. The report generation engine 132 is configured to generate detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness. The skill analyzing engine 134 is configured to analyze trends in skill seeker requirements and suggests appropriate skill development programs to skill owners. The recommendation engine 136 is configured to employ sentiment analysis to gauge the feedback from skill seekers and adjust recommendations for skill owners accordingly. The recommendation engine 136 is further configured to incorporate predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners.
The Report generation engine 132 is configured to provide employment statistics, employment analytics and trends data to the government agent by way of the sixth user device 112. The report generation engine 132 is configured to provide validation service to the support agency by way of the fifth user device 110.
Figure 2 illustrates a flowchart that depicts a process 200 for managing skill and talent validation by way of a system 100.
At step 202, the process includes receiving one or more inputs from a skill owner by way of the a first user device.
At step 204, the process includes validating the one or more inputs provided by the skill owner through a second user device by way of the a skill validator.
At step 206, the process includes communicating the validated and shortlisted skill owner to a skill seeker by way of the a third user device.
At step 208, the process includes suggesting one or more skill-oriented training programs to the skill owner based on the requirements of the skill seeker by way of the processing circuitry 122.
At step 210, the process includes generating detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness by way of the processing circuitry 122.
At step 212, the process includes employing 212 blockchain technology within the first user device 102, the second user device 104, and the third user device 106 to ensure the integrity and immutability of the skill validation records.
At step 214, the process includes utilizing 214 a machine learning model trained on historical data to predict the best match between skill owners and skill seekers by way of the processing circuitry 122.
At step 216, the process includes analyzing 216 skill seeker requirements and suggesting appropriate skill development programs to skill owners by way of the processing circuitry 122.
At step 218, the process includes employing sentiment analysis to gauge feedback from skill seekers and adjust recommendations for skill owners accordingly by way of the processing circuitry 122.
At step 220, the process includes incorporating 220 predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners by way of the processing circuitry 122.
The present disclosure offers advantages particularly to the rapidly evolving 'Gig' workforce and professions catering blue collared workers, hotel/hospital industry, contract employees, etc. where employment opportunities can be better matched with their specific skillsets. Further, the present disclosure can address, most if not all, underserved /marginalized workforce populations of individuals, including differently abled or challenged workers, ex-service personnel or veterans, members of the LGBTQ population, individuals who are recently retired or nearing retirement, spouses returning-to-work after a hiatus, and retiring/retired sports persons, among others through medium of showcasing of their specific skills and finding a way to integrate them into the mainstream workforce.
It is also an objective of the present disclosure to provide a process 200 for students of learning (early Skill Owners) -- from the time they are in their high school all the way until they land their first formal employment -- on how to keep track of their skills acquired in a learning environment/setting and as and when they are exposed to any form of skills application to keep track of their skills applied in a work environment/setting. Further, the present disclosure provides the students of learning (early Skill Owners) to use the process methodology to not only diligently track and keep updating their skill profile but also to store and utilize the centralized digital system as a skill depository medium so that the same can be leveraged and extended when they join the mainstream workforce.
The implementation set forth in the foregoing description does not represent all implementations consistent with the subject matter described herein. Instead, they are merely some examples consistent with aspects related to the described subject matter. Although a few variations have been described in detail above, other modifications or additions are possible. In particular, further features and/or variations can be provided in addition to those set forth herein.
,CLAIMS:1. A system (100) comprising:
a first user device (102) that is adapted to receive one or more inputs provided by skill owner, a second user device (104) that is adapted to validate one or more inputs provided by the skill owner by a skill validator, a third user device (106) that is adapted to receive one or more inputs validated by the skill validator; and
processing circuitry (122) that is communicatively coupled with the first user device (102), a second user device (104), and a third user device (106), and configured to:
i. collect the one or more inputs provided by the skill owner;
ii. validates the one or more inputs associated with the skill owner by way of the skill validator through the second user device (104);
iii. communicates the validated and shortlisted skill owner to a skill seeker by way of the third user device (106); and
iv. suggest one or more skill oriented training suggestions to the skill owner based on the requirements of the skill seeker.

2. The system (100) as claimed in claim 1, wherein the processing circuitry (122) is further configured to generate detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness.

3. The system (100) as claimed in claim 1, wherein the first user device (102), the second user device (104), and the third user device (106) employs blockchain to ensure the integrity and immutability of the skill validation records.

4. The system (100) as claimed in claim 1, wherein the processing circuitry (122) includes a machine learning model trained on historical data to predict the best match between skill owners and skill seekers.

5. The system (100) as claimed in claim 1, wherein the processing circuitry (122) is configured to analyze skill seeker requirements and suggests appropriate skill development programs to skill owners.

6. The system (100) as claimed in claim 1, wherein the processing circuitry (122) employs sentiment analysis to gauge the feedback from skill seekers and adjust recommendations for skill owners accordingly.

7. The system (100) as claimed in claim 1, wherein the processing circuitry (122) incorporates predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners.

8. A process (200) for managing skill and talent validation by way of a system (100), comprising:
receiving (202) one or more inputs from a skill owner by way of a first user device (102);
validating (204) the one or more inputs provided by the skill owner through a second user device (104) by way of a skill validator;
communicating (206) the validated and shortlisted skill owner to a skill seeker by way of a third user device (106);
suggesting (208) one or more skill-oriented training programs to the skill owner based on the requirements of the skill seeker by way of the processing circuitry (122); and
generating (210) detailed reports on skill validation and job matching activities to provide insights into the system's effectiveness by way of the processing circuitry (122).
9. The process (200) for managing skill and talent validation as claimed in claim 8, further comprising employing (212) blockchain technology within the first user device (102), the second user device (104), and the third user device (106) to ensure the integrity and immutability of the skill validation records.

10. The process (200) for managing skill and talent validation as claimed in claim 8, further comprising utilizing (214) a machine learning model trained on historical data to predict the best match between skill owners and skill seekers by way of the processing circuitry (122).

11. The process (200) for managing skill and talent validation as claimed in claim 8, further comprising analyzing (216) skill seeker requirements and suggesting appropriate skill development programs to skill owners by way of the processing circuitry (122).

12. The process (200) for managing skill and talent validation as claimed in claim 8, further comprising employing (218) sentiment analysis to gauge feedback from skill seekers and adjust recommendations for skill owners accordingly by way of the processing circuitry (122).

13. The process (200) for managing skill and talent validation as claimed in claim 8, further comprising incorporating (220) predictive analytics to identify emerging skill demands and recommend future skill acquisition paths to skill owners by way of the processing circuitry (122).