Description:The present invention relates to the field of human resource (HR) management and automation technologies. More particularly, it pertains to an intelligent kiosk system integrated with artificial intelligence (AI), biometric authentication, and natural language processing capabilities to perform and streamline various HR-related functions such as recruitment, onboarding, attendance management, performance evaluation, employee engagement, and grievance redressal in a self-service and automated manner.
BACKGROUND OF THE INVENTION
The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.

Human Resource departments in modern organizations are increasingly burdened by the need to manage large workforces efficiently while maintaining employee satisfaction and operational productivity. Traditional HR practices typically involve significant manual effort and are often supported by disparate software systems or paperwork, which limits the scalability and responsiveness of HR services.

In environments such as factories, field operations, warehouses, and large corporate campuses, access to HR personnel and systems can be inconsistent. Employees may face difficulties in reporting grievances, receiving timely updates, or accessing essential services such as attendance logging, leave applications, or training sessions.

Existing software-based HR systems often require a level of computer literacy or access to personal devices, which may not be uniformly available across all employee segments. This digital divide restricts equitable access to HR services and impacts employee experience, especially in blue-collar or non-desk job roles.

Moreover, the recruitment and onboarding processes demand repetitive and time-intensive steps like initial screenings, document verifications, and candidate interaction, which could be automated to enhance HR productivity. Current systems do not utilize AI adequately to conduct meaningful initial interactions with candidates or assess their compatibility and performance during early evaluations.

Employee feedback mechanisms, training delivery, and real-time sentiment analysis are still largely reactive rather than proactive. There exists a technological gap in how HR systems gather, interpret, and act on employee data in real time to improve engagement and performance.

In light of these issues, there is a need for a self-contained, AI-driven kiosk system that can act as an accessible HR interface at physical workplaces. Such a kiosk would not only automate routine HR tasks but also create a data-driven, intelligent, and responsive platform for both employees and HR administrators.

OBJECTIVE OF THE INVENTION

Some of the objects of the present disclosure, which at least one embodiment herein satisfies are listed herein below.

The primary objective of the present invention is to develop an AI-based kiosk system that can autonomously execute multiple HR functions through voice, biometric, and visual interaction, thereby reducing manual workload and improving employee access to HR services.

Another objective is to provide a touchless and user-friendly interface that integrates biometric and facial recognition systems to authenticate users and personalize the HR interaction experience without requiring any external device or prior training.

It is also an objective to automate the initial stages of the recruitment process by enabling the kiosk to conduct candidate screenings through AI-based question-answer sessions, personality assessments, and document verification mechanisms.

A further objective is to facilitate real-time attendance logging through facial recognition or biometric authentication, automatically updating HR databases and eliminating the need for manual punch-in systems.

Another key objective of the invention is to offer a voice-activated or touch-based grievance redressal interface that captures, categorizes, and escalates employee issues using AI-based keyword and sentiment analysis.

An additional objective is to create a multimedia-enabled learning and development platform within the kiosk for delivering onboarding modules, training content, and assessment tools to employees at their convenience.

Finally, the invention aims to centralize all HR functions and analytics into a unified, secure, and AI-augmented interface that provides real-time insights to HR teams while offering a decentralized and accessible point of contact to employees across any physical work environment.

SUMMARY OF THE INVENTION
This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.

The present invention discloses an AI-based kiosk system specifically designed for human resource management within organizational environments. The kiosk is equipped with hardware such as a touch screen, biometric scanner, camera, microphone, and speaker, and is powered by AI algorithms for performing automated HR tasks. The system utilizes machine learning, natural language processing, facial recognition, and sentiment analysis to interact intelligently with users and conduct activities such as recruitment interviews, attendance recording, grievance reporting, and training.

The kiosk integrates with cloud-based HR management platforms and employee databases to ensure real-time data synchronization, role-based access control, and secure communication. Through AI-powered dialogue, intuitive interfaces, and multimodal inputs, the kiosk facilitates equitable access to HR services, streamlines operations, and enhances the responsiveness of HR teams to employee needs. The invention provides a scalable and intelligent solution suitable for enterprises seeking to automate and enhance HR engagement across varied workplace environments.

BRIEF DESCRIPTION OF DRAWINGS
The accompanying drawings, which are incorporated herein, and constitute a part of this invention, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present invention. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that invention of such drawings includes the invention of electrical components, electronic components or circuitry commonly used to implement such components.

FIG. 1 illustrates an exemplary self-service kiosk system for human resource management, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION OF THE INVENTION

In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.

The ensuing description provides exemplary embodiments only and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.

Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail to avoid obscuring the embodiments.

Also, it is noted that individual embodiments may be described as a process that is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.

The word “exemplary” and/or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term “comprising” as an open transition word without precluding any additional or other elements.

Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used herein, the singular forms “a”, “an”, and “the” are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items.

The present invention discloses an AI-powered kiosk system designed to perform and manage multiple human resource (HR) functions through a self-service interface. The kiosk comprises integrated hardware and software components that work collaboratively to offer a personalized, automated, and efficient HR interaction experience. The hardware components include a touchscreen graphical user interface (GUI), a biometric scanner (such as fingerprint or iris recognition), a high-resolution camera, a microphone, speakers, and a processing unit. These elements are encased in a robust enclosure suitable for office, industrial, or public deployment.

The kiosk is embedded with software modules powered by artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and computer vision. The system is configured to recognize individuals using biometric data or facial features and subsequently deliver personalized HR services based on the authenticated user profile. AI-driven algorithms enable the kiosk to engage in natural language conversations with employees or candidates, allowing it to conduct job interviews, record grievances, track attendance, and provide training content effectively.

The kiosk’s AI-based interaction engine is trained to evaluate emotional tone, behavioral cues, and sentiment during conversations. This allows it to analyze employee satisfaction, stress levels, and engagement, thus acting as a frontline tool for early detection of workforce issues. Furthermore, all interactions and collected data are logged securely and can be integrated with existing cloud-based HR software platforms, ensuring seamless data flow and centralization.

The attendance module allows employees to log in via facial recognition or biometric scan, automatically updating time records in the backend HR system. In addition, the kiosk can serve as a grievance redressal hub, where employees submit complaints through voice or text input. Using AI, the system classifies the severity of issues and forwards them to the appropriate HR authority with contextual metadata and urgency flags.

For training and onboarding, the kiosk displays interactive multimedia content and quizzes tailored to each employee's role. Progress tracking, performance scores, and feedback are logged in real-time. The kiosk can support multiple languages, ensuring inclusivity in linguistically diverse workplaces. Further, security protocols such as role-based access, encryption, and audit trails are incorporated to protect sensitive employee data.

The modular design of the invention allows for customization based on organizational needs. Additional features such as printing, RFID badge issuance, live video HR consultations, and integration with enterprise resource planning (ERP) systems can be incorporated. This flexibility ensures that the kiosk can be deployed across varied industrial, commercial, and educational settings to transform how HR services are accessed and delivered.

In one embodiment, the AI-based kiosk is configured to perform as an automated job screening and interview system. When a candidate approaches the kiosk, they are authenticated via an identification number or QR code sent during scheduling. The kiosk initiates a natural language-based interview session, asking predefined and dynamically generated questions. The AI engine evaluates the responses in real time, analyzing content, confidence levels, speech patterns, and emotional tone using integrated sentiment analysis and voice modulation recognition.

Based on this assessment, the kiosk generates an interview score and a compatibility index, which is stored securely and forwarded to the HR team. The kiosk can also scan resumes and documents submitted by the candidate using optical character recognition (OCR) and verify qualifications using third-party APIs. This embodiment helps automate the initial screening phase, reducing HR workload while providing unbiased, data-driven assessments.

In another embodiment, the kiosk functions as an attendance logging and sentiment monitoring station. Employees authenticate themselves through facial recognition or fingerprint scanning upon entry and exit. The kiosk captures time stamps and updates the central HR database accordingly. During the authentication process, a short interaction is initiated in which the AI system casually asks about the employee’s wellbeing or workplace experience.

The responses are analyzed using NLP and sentiment classification to detect signs of stress, dissatisfaction, or disengagement. If negative patterns are consistently identified, the system generates alerts for HR review, enabling proactive engagement. This embodiment is particularly beneficial for organizations focused on employee wellness, enabling data-driven insights into workforce morale and operational stress points.

In a further embodiment, the kiosk serves as a training delivery and grievance registration platform. Employees can log into their training portal via biometric authentication. The kiosk displays interactive videos, documents, or augmented reality-based modules relevant to their job roles. After the training, a quiz is presented and graded using automated scoring algorithms. Performance metrics are logged and stored in the employee’s profile.

Additionally, the same kiosk allows employees to file grievances through a voice or touchscreen interface. Using keyword tagging and AI-based classification, the system determines the urgency and category of the complaint. High-priority issues are escalated in real time via email or notification to designated HR personnel. This embodiment ensures continuous professional development and provides a confidential and efficient channel for employee support.

While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the invention. These and other changes in the preferred embodiments of the invention will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter to be implemented merely as illustrative of the invention and not as limitation.
, Claims:1. A self-service kiosk system for human resource management, comprising:
o a display screen and input interface for user interaction;
o a biometric authentication unit configured for identity verification;
o a camera and microphone for capturing facial and voice data;
o a processing unit running artificial intelligence algorithms,
wherein the system is configured to execute natural language-based conversations with users and perform at least one HR function selected from recruitment, onboarding, attendance tracking, grievance handling, or performance evaluation.

2. The kiosk system of claim 1, wherein the artificial intelligence module is trained to conduct and assess candidate interviews through predefined question sets and sentiment analysis.
3. The kiosk system of claim 1, wherein the grievance redressal module uses speech recognition and keyword-based prioritization to categorize and escalate issues to HR personnel.
4. The system of claim 1, wherein the facial recognition module is configured to mark employee attendance by matching real-time facial images with stored biometric profiles.
5. The system of claim 1, wherein the kiosk interfaces with a cloud-based HR management platform to retrieve and store employee data in real-time.
6. The system of claim 1, wherein the training module presents interactive multimedia content and assesses knowledge retention via quizzes and AI analysis.
7. The system of claim 1, further comprising a sentiment analysis engine that evaluates the emotional tone of employee responses and flags potential dissatisfaction or stress levels.
8. The system of claim 1, wherein the AI chatbot responds to HR-related queries in multiple languages using a multilingual NLP engine.