Embodiments of the present invention disclose a method facilitating subscription-based licensing and delivery of a secure proprietary client-server Service-Oriented Architecture-based Human Talent Management-As-A-Service (SOAHTMAAS) modular application software for rendering human talent management services. The method comprises remotely registering at least a user attempting to subscribe to the secure proprietary client-server SOAHTMAAS modular application software as at least one of a potential candidate, employer and crowdsourced Third-Party Subject Matter Expert (3PSME), and a combination thereof, as at least one of a new interviewee, interviewer subscriber, and a combination thereof, using at least a cloud client, for creation of at least one of a free and paid basic subscription-based membership account conditionally against at least one of nonpayment and payment of at least one of basic one-time and periodic subscription fee, facilitating standard Authenticated, Authorized and Accounted (AAA) access thereto for availing one or more services limited by way of at least one of features, capacity, use license, use time and support and rendered under basic services, and at least one of subsequent on-demand conditionally free and paid AAA access thereto for availing one or more unlimited services rendered under at least one of freemium and premium services to correspondingly use the secure proprietary client-server SOAHTMAAS modular application software, running on a cloud server hosting an online marketplace offering the secure proprietary client-server SOAHTMAAS modular application software, at least one of free and against payment of at least one of one-time and periodic subscription fee charged at least one of in part and entirety by at least one of an online marketplace operator, Third-Party Application Service Provider (3PASP), Third-Party Software Service Provider (3PSSP), Third-Party Application Software Service Provider (3PASSP), and a combination thereof, at least one of correspondingly managing the online marketplace, trading therein, and a combination thereof, upon successful registration, issuing unique user log-in credentials, such as a User Identifier (User ID) and Password (PWD), from the cloud server to each of the at least one of interviewee, interviewer subscriber, and combination thereof, for facilitating subsequent standard AAA access to the at least one of free and paid basic subscription-based membership account to limitedly use the secure proprietary client-server SOAHTMAAS application software and at least one of subsequent on-demand conditionally free and paid access to unlimitedly use the secure proprietary client-server SOAHTMAAS modular application software, upon later access as a return user, securely Authenticating, Authorizing and Accounting (AAA) each of the at least one of interviewee, interviewer subscriber, and combination thereof, via usage of an AAA engine of the cloud server, thereby facilitating managing access to the at least one of basic access and minimal service subscription-based account rendered as the basic service and at least one of subsequent conditionally free and paid access to use the secure proprietary client-server HTMAAS application software rendered as the at least one of freemium and premium service, upon successful AAA, at least one of fully autonomously and automatically, searching and recommending at least one of most relevant, optimal and best potential jobs, subject to comparative analyses of the overall profiles of the potential candidates, comprising at least one of academic, professional credentials, Knowledge, Skills, and Abilities (KSA), skillsets, optional experience, endorsements, recommendations and referrals of the potential candidates, vis-à-vis corresponding potential jobs, and the at least one of job descriptions, requirements and specifications, as well as at least one of requested, required, expected, demanded and desired profiles, qualifications, experience, logistics, roles, responsibilities and skillset thereof, using at least one of Artificial-Intelligence (AI), Machine-Learning (ML), and combinations thereof, for instance Artificial Intelligence-based Machine Learning (AI-based ML)), Machine Learning-based Artificial Intelligence (ML-based AI), upon at least one of request and demand, subjecting the potential candidates to at least one of unbiased genuine and mock Third-Party (3P) pre-assessments comprising at least one of partially and fully, at least one of autonomously and automatically, searching and recommending at least one of most relevant, optimal and best potential 3PSMEs based partly on the analyses of the at least one of i) the overall profiles of the potential 3PSMEs comprising at least one of academic, professional credentials, Knowledge, Skills, and Abilities (KSA), skillsets, experience, ratings, feedbacks, comments, reviews, endorsements, recommendations and referrals of the potential 3PSMEs, ii) the overall profiles of the potential candidates, and the degree of match therebetween, for instance 3PSME-candidate fit most strongly related to 3PSME-oriented outcomes like 3PSME satisfaction, using at least one of Artificial-Intelligence (AI), Machine-Learning (ML), and combinations thereof, for instance Artificial Intelligence-based Machine Learning (AI-based ML)), Machine Learning-based Artificial Intelligence (ML-based AI), at least one of partially manually, autonomously and automatically pre-assessing the potential candidates, and combinations thereof, comprising pre-assessing the potential candidates via at least one of i) implementation of at least one of AI- and ML-based chatbots, and a combination thereof, and ii) at least one of partially manually selected, AI-, ML-searched-cum-recommended at least one of most optimal and best 3PSMEs, and a combination thereof, wherein the pre-assessment of the potential candidates via selectively engaging the at least one of partially manually selected, AI-, ML-searched-cum-recommended at least one of most optimal and best 3PSMEs, and combination thereof, comprising at least one of ethically, permissibly, selectively securely, accurately, legitimately and legibly capturing, recording, archiving and storing the contents of the at least one of partially manual, AI-, ML-based pre-assessment of the potential candidates, for instance at least one of offline face-to-face and online unbiased mock job interviews, by the 3PSMEs for subsequent use and reuse, whilst maintaining the at least one of pseudonymity and anonymity of the 3PSMEs, whereas the pre-assessment of the potential candidates via the implementation of the at least one of AI- and ML-based chatbots, and combination thereof, comprises analyzing the potential jobs, and the at least one of job descriptions, requirements and specifications, as well as at least one of requested, required, expected, demanded and desired profiles, qualifications, experience, logistics, roles, responsibilities and skillset thereof, posting questionnaires to the potential candidates, at least one of ethically, permissibly, selectively securely, accurately, legitimately and legibly capturing, recording, archiving, storing and processing the responses of the potential candidates using at least one of Artificial Intelligence (AI)-, Machine-Learning (ML)-based algorithms, and a combination thereof, searching and recommending at least one of most optimal and best responses to the questionnaires and the corresponding respondents, for instance the one or more pre-assessed candidates using at least one of AI-, ML-based search-cum-recommendation, and a combination thereof, at least one of adaptively and dynamically, at least one of iteratively reviewing and rating the pre-assessed candidates and adding the at least one of posted questionnaires, processed recorded responses, corresponding respondents thereto, and the reviews as well as ratings thereof and upon pre-assessment, reassessing the pre-assessed candidates by one or more potential employers comprising at least one of partially manually, autonomously and automatically, searching and recommending at least one of most relevant, optimal and best pre-assessed candidates for the at least one of most optimal, relevant and best potential jobs comprising at least one of AI-, ML-based logical resolution of one or more issues in connection with the semantics of the contents of the resumes, biodatas and Curriculum Vitae (CVs) of the pre-assessed candidates, thereby facilitating at least one of shortlisting and nomination of the pre-assessed candidates, subject to selection by way of elimination, for one or more interviews or assessments by the potential employers, at least one of AI-, ML-based facial (or face) detection, recognition and perception of the pre-assessed candidates, and combinations thereof, thereby facilitating avoiding impersonation by the selected pre-assessed candidates during the one or more interviews or assessments by the potential employers, at least one of AI-, ML-based search-cum-recommendation of at least one of most optimal and best responses to questionnaires and the corresponding respondents thereto, and combinations thereof, for instance the one or more selected pre-assessed candidates subjected to the one or more interviews (or assessments) by the potential employers, and at least one of AI-, ML-based background investigation and verification of the interviewed candidates, thereby facilitating expediting final hiring and onboarding of the interviewed candidates, in turn, facilitating at least one of minimizing and reducing the at least one of time-to-hire, cost-to-hire, labor-to-hire, and a combination thereof, whilst managing optimal trade-off therebetween.
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