Abstract: A human resource hiring and training system, comprising a housing 101 with a raised work surface 102 and multiple sitting arrangements 103, a multi-section chamber 104 for storage of documents including resumes, a motorised roller 201 via a linear actuator 202 for dispensing documents via an opening 105 formed over the chamber 104, an OCR (optical character recognition) sensor 106 via an articulated L-shaped telescopic rod 107, for extracting text from documents to save in a digital format in a memory, a multi-channel sorting conveyor 110 for sorting the resumes as per the rank and category, into specific compartments 111, a touch enabled display unit 108 to display a questionnaire to a candidate, a first microphone 109 to enable the candidate to provide vocal responses to the questionnaire and a Photoplethysmography (PPG) sensor to detect vitals of the candidate by responding to the questionnaire.
Description:FIELD OF THE INVENTION
[0001] The present invention relates to a human resource hiring and training system that provides accessibility to a user for evaluating and hiring a suitable candidate by the help of automated solutions which in turn process resumes, analyses candidate responses and vitals in real-time, in view of streamlining recruitment and training operations for enabling human resource personnel to select and train employees efficiently.
BACKGROUND OF THE INVENTION
[0002] Hiring suitable candidates for an organization is a critical process that requires thorough evaluation of qualifications, skills, and behavioral compatibility. Conventionally, human resource personnel manually go through a large number of resumes to shortlist candidates for interviews. However, this manual shortlisting process is often time-consuming, inconsistent, and prone to bias. In many cases, resumes are overlooked, or potentially suitable candidates are not identified accurately due to lack of proper filtering tools. Moreover, the evaluation during the interview is typically limited to verbal responses, making it difficult to assess a candidate’s actual aptitude and emotional intelligence.
[0003] Sometimes, even after shortlisting, the selection process fails to effectively measure a candidate’s real-world capabilities, such as response under pressure, practical skills, or alignment with workplace behavior expectations. Conventional interview environments also fail to track biometric or emotional indicators that may provide critical insights into a candidate’s stress-handling capacity, honesty, or engagement. As a result, hiring decisions may lead to sub-optimal outcomes, increased attrition, or underperformance after onboarding. Furthermore, training new hires is often generalized and not customized to individual needs, reducing effectiveness of the overall onboarding process.
[0004] US2009013233A1 discloses a human resource management system, designed in particular, for recruitment selection, personnel management and career guidance. In a first aspect the invention is a computer system, in a second aspect a computer operated method, and in a third aspect software for performing the method. The invention involves a database to store descriptions of jobs each of which is defined by competencies. A database to store descriptions of candidates each of which is defined by competencies. A processor operable to automatically report a ranked match between a single job and many candidates based on matching competencies, or to automatically report a ranked match between a single candidate and many jobs based on matching competencies. And, a user interface to display the resulting report.
[0005] US8086558B2 discloses a system and method for testing and/or evaluating employees or potential employees is disclosed. A computer arranges a plurality of applicants in a stack ranked table. The table may rank or re-rank applicants against each other, from best to worst, after successive screening, selecting, and/or interviewing stages for a particular job. Performance evaluations of hired workers may be fed back to the computer for adjusting the system and method. Competencies shown to be predictive of successful performance of a given type of job are tested for at various stages in an online testing system.
[0006] As per the discussion in above-mentioned prior arts, there many systems, which are known to assist in recruitment, resume sorting, and online interviews. However, these conventional systems are limited in capturing critical indicators such as emotional state, vital signs, behavioral cues, and real-time skill application. In addition, these systems also fail to provide feedback loops or generate detailed, automated reports for HR personnel to support hiring decisions. Consequently, candidates are often selected based on incomplete data, and training provided is not aligned with the actual skills or needs of the new hire.
[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to be capable of enabling human resource personnel to perform end-to-end candidate evaluation and training by using integrated modules for resume screening, biometric monitoring, behavioral analysis, and skill simulation. In addition, the developed system also needs to be capable of generating detailed assessment reports and gathering anonymous candidate feedback to continuously improve the recruitment process and ensure the most suitable candidates are hired and trained effectively.
OBJECTS OF THE INVENTION
[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.
[0009] An object of the present invention is to develop a system that automates the collection, storage, and categorization of candidate resumes, significantly reducing the manual effort required by human resource personnel and ensuring that relevant candidates are prioritized based on predefined criteria.
[0010] Another object of the present invention is to develop a system that is capable of dynamically customizing interview questions and assessments according to each candidate’s qualifications and profile, thereby enhancing the relevance and fairness of the evaluation process.
[0011] Another object of the present invention is to develop a system that is capable of offering deeper insight into each candidate's emotional and psychological state by monitoring and analyzing vocal responses, body language, and physiological indicators during interviews, thereby supporting more informed hiring decisions.
[0012] Another object of the present invention is to develop a system that is capable of enabling immersive, scenario-based testing of a candidate’s practical abilities in a simulated environment, thereby allowing employers to gauge real-world performance without traditional job trials.
[0013] Yet another object of the present invention is to develop a system that is capable of capturing and analyzing user feedback along with emotional cues, helping organizations improve the recruitment experience and internal processes based on genuine user sentiment and behavior.
[0014] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.
SUMMARY OF THE INVENTION
[0015] The present invention relates to a human resource hiring and training system that is accessed by a user to recruit a suitable candidate based on predefined qualifications. In addition, the system also determines behavioral and physiological parameters of the candidate along with notifying a concerned human resource personnel regarding candidate’s compatibility for enabling the personnel to make informed hiring decisions.
[0016] According to an embodiment of the present invention, a human resource hiring and training system, comprising a housing with a raised work surface and multiple sitting arrangements disposed within the housing, a multi-section chamber mounted over the surface for storage of documents including resumes in an organised manner, a motorised roller is installed within each section of the chamber via a linear actuator for dispensing documents via an opening formed at a front portion of the section of the chamber, an OCR (optical character recognition) sensor provided on the surface via an articulated L-shaped telescopic rod, for extracting text from documents to save in a digital format in a memory linked with a microcontroller, a segregating module configured with the OCR sensor to categorise and rank fed resumes based on match with predefined qualification requirements, to enable the human resource personnel to hire a suitable candidate, a multi-channel sorting conveyor is installed adjacent to the chamber, for sorting the resumes as per the rank and category, into specific compartments provided at the ends of the channels of the conveyor and a touch enabled display unit provided over the surface to display a questionnaire to a candidate.
[0017] According to another embodiment of the present invention, the system further includes a first microphone is mounted on the surface to enable the candidate to provide vocal responses to the questionnaire, to be stored onto the memory, a Photoplethysmography (PPG) sensor embedded with the sitting arrangement to detect vitals of the candidate by responding to the questionnaire, a sensing unit is installed throughout the housing to detect parameters relating to behaviour of human resource personnel and candidates, to feed into an analysis module configured with the microcontroller to generate insights into behaviour of the human resource personnel and candidates, the sensing unit comprises multiple artificial intelligence based cameras to capture visuals of user, multiple second microphones to record audio of the users, a holographic projection unit is mounted within the housing to project visuals to simulate work scenarios, a touch-enabled display panel is mounted with an outer surface of the housing, to enable the candidate to provide anonymous feedback, an artificial intelligence-based imaging unit, installed adjacent to the display panel to determine an emotion felt by the user to record the determined emotions with the feedback for reference of a human resource personnel.
[0018] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[0019] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 exemplarily illustrates an isometric view of a human resource hiring and training system; and
Figure 2 exemplarily illustrates an inner view of a chamber associated with the system.
DETAILED DESCRIPTION OF THE INVENTION
[0020] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.
[0021] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.
[0022] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0023] The present invention relates to a human resource hiring and training system that is accessed by a user for hiring and training a candidate based on their resume and interactive responses. Additionally, the system also determines vocal inputs, vital health parameters and emotional state of the candidate in real-time along with projecting virtual scenarios to assess practical skills in order to enhance the efficiency and effectiveness of employee selection and onboarding.
[0024] Referring to Figure 1 and 2, an isometric view of a human resource hiring and training system and an inner view of a chamber associated with the system are illustrated, respectively, comprising a housing 101 with a raised work surface 102 and a plurality of sitting arrangements 103 disposed within the housing 101, a multi-section chamber 104 mounted over the surface 102, a motorised roller 201 is installed within each section of the chamber 104 by means of a linear actuator 202, an opening 105 formed at a front portion of the section of the chamber 104, an OCR (optical character recognition) sensor 106 provided on the surface 102 by means of an articulated L-shaped telescopic rod 107.
[0025] Figure 1 and 2 further illustrates a touch enabled display unit 108 provided over the surface 102, a first microphone 109 is mounted on the surface 102, a multi-channel sorting conveyor 110 is installed adjacent to the chamber 104, compartments 111 provided at the ends of the channels of the conveyor 110, a plurality of artificial intelligence based cameras 112, a plurality of second microphones 113, a holographic projection unit 114 is mounted within the housing 101, a touch-enabled display panel 116 is installed on outer surface of the housing 101 and an artificial intelligence based imaging unit 115 is installed adjacently to the display panel 116.
[0026] The system disclosed herein comprises a housing 101 that serves as the main foundational structure of the system. The housing 101 is constructed with a raised work surface 102, which allows ergonomic access for users. In addition, the housing 101 includes a plurality of sitting arrangements 103, which are placed to facilitate seating for both the candidate’s undergoing evaluation and the human resource personnel conducting or monitoring the process.
[0027] Positioned above the raised work surface 102 is a multi-section chamber 104 that provides organized storage for documents including resumes. The chamber 104 is segmented into multiple sections, each designated for storing documents based on categorization such as application status, role applied for, or candidate batch, which ensures that physical documents are not only stored safely but are also readily accessible in a structured format, facilitating quick retrieval, efficient sorting, and minimal manual handling.
[0028] For example, as each candidate checks in, their physical resume is collected and placed into a designated section of the multi-section chamber 104, perhaps based on their applied department like computer science, mechanical, or HR. This way, a recruiter is allowed access all resumes from one department at once, without sifting through stacks of unsorted paper.
[0029] To automate the retrieval of stored documents, each section of the multi-section chamber 104 is equipped with a motorised roller 201. The roller 201 functions to engage and feed documents toward an opening 105 formed over the chamber 104. The motorized roller 201 is a mechanical unit designed to rotate on its axis with the help of an integrated electric motor. The roller 201 tube serves as a surface for supporting, and dispensing documents. The motorized roller 201 is equipped with an electric motor that provides the rotational power necessary to turn the roller 201. The motor is connected to the roller 201 tube through a drive means, which involves gears, belts to transfer the motor’s rotational force to the roller 201, causing it to spin and dispense document.
[0030] The movement of each roller 201 is controlled by a linear actuator 202, which provides precise actuation in a linear direction to initiate and regulate the dispensing motion. In an embodiment of the present invention, the linear actuator 202 comprises of a motor, a lead screw and a nut. When activated by a microcontroller of the system, the motor generates rotational force, which is then converted into linear motion through the interaction between the lead screw and the nut. The lead screw, driven by the motor, turns and causes the nut to move along its threads. This movement pushes or pulls the connected roller 201, as the actuator 202 extends, it applies the necessary force to dispense document via the roller 201.
[0031] The opening 105 is formed at a front portion of each section of the chamber 104 through which the selected documents such as resumes are dispensed in a controlled manner, which minimizes the need for human intervention in document handling and supports seamless workflow continuity.
[0032] An OCR (optical character recognition) sensor 106 is located on the raised work surface 102, via an articulated L-shaped telescopic rod 107, which allows adjustable positioning and angling to accommodate documents of varying sizes and orientations. In an embodiment of the present invention, the telescopic rod 107 as mentioned herein are powered by a pneumatic unit that utilizes compressed air to extend and retract the rod 107. The process begins with an air compressor which compresses atmospheric air to a higher pressure.
[0033] The air cylinder of the pneumatic unit contains a piston that moves back and forth within the cylinder. The cylinder is connected to one end of the telescopic rod 107. The piston is attached to the telescopically operated rod 107 and its movement is controlled by the flow of compressed air. To extend the telescopic rod 107, the piston activates the air valve to allow compressed air to flow into the chamber behind the piston. As the pressure increases in the chamber, the piston pushes the telescopic rod 107 to the desired length.
[0034] The OCR (optical character recognition) sensor 106 is responsible for capturing the printed or handwritten textual data from physical documents such as resumes. The OCR comprises a camera, which captures an image of the text. This image is then processed by the OCR protocols, which uses to identify and recognize the characters in the text. The OCR protocols analyse the shapes and patterns of the characters, comparing them to a database of known fonts and character sets.
[0035] The OCR sensor 106 then uses various techniques such as feature extraction, pattern recognition, and machine learning to identify the characters and convert them into editable digital text. Once scanned, the OCR (optical character recognition) sensor 106 extracts and converts the text into a digital format, which is then stored in a memory electronically linked with the microcontroller. The microcontroller acts as a central processing unit, coordinating further processing and analysis of the digitized text.
[0036] For example, after a resume is dispensed, the articulated L-shaped telescopic rod 107 positions the OCR sensor 106 over the paper. The OCR scans the resume, converts it into text, and stores the information like education, skills, and experience in the memory. For instance, if the resume says “B. Tech in Computer Science,” that phrase is captured and stored for further ranking.
[0037] A segregating module is functionally configured with the OCR sensor 106, enabling it to receive and analyze the text data extracted from resumes. The segregating module applies predefined protocols and logic to assess and compare the resume content against a set of predefined qualification requirements, which may include educational qualifications, work experience, technical skills, or other hiring criteria. Based on the degree of match, the resumes are categorised and ranked, allowing human resource personnel to make data-driven decisions in selecting the most suitable candidates for further evaluation or employment.
[0038] For instance, the job role requires a minimum of 2 years of experience in a field, the segregating module automatically checks the OCR data from the resume. A candidate who lists “3 years of experience in the same filed” is ranked higher than one with just beginner in that field. This categorisation and ranking streamline the decision-making process for HR.
[0039] Adjacent to the multi-section chamber 104, is installed a multi-channel sorting conveyor 110 that automates the process of physical resume distribution based on the classification results from the segregating module. The conveyor 110 consists of multiple parallel channels, each leading to specific compartments 111 located at the end of each channel. When resumes are categorized and ranked, the conveyor 110 routes each document to the corresponding compartment as per its classification.
[0040] As the resumes are dispensed from the multi-section chamber 104 via the motorized rollers, they are fed onto the conveyor 110. In an embodiment of the present invention, as resumes are fed onto the conveyor 110 belt from the multi-section chamber 104, sensors (e.g., optical or barcode scanners) track each resume's identity, category, and ranking information received from the segregating module. This data is transmitted to the microcontroller, which determines the designated channel for each resume.
[0041] The microcontroller then triggers the actuators, such as pneumatic or electric diverters, placed along the conveyor 110. These diverters guide the resumes into specific channels, each corresponding to a particular category or rank. The diverters' actions are precisely synchronized with the movement of the resumes, ensuring accurate sorting. As the resumes reach their designated channels, they are collected in labelled compartments 111 at the end of each channel. The compartments 111 are organized according to category or rank, allowing human resource personnel to easily access and review the resumes, which results in physically sorted batches of resumes that are easily accessible and archived in an orderly fashion.
[0042] For example, a batch of resumes has been scanned and ranked, the microcontroller actuates the multi-channel sorting conveyor 110. High-ranked electrical candidates for a role are sorted into one compartment, while mid-ranked mechanical candidates are directed to another. This makes it easy for recruiters to retrieve and compare top prospects from each category.
[0043] To interact directly with candidates, a touch enabled display unit 108 is mounted over the raised surface 102, which serves as an interface for conducting initial assessments. The touch enabled display unit 108 is configured to display a questionnaire that is dynamically generated based on the rank and category of the candidate’s resume, as determined by the segregating module. The touch enabled display unit 108 as mentioned herein is typically an LCD (Liquid Crystal Display) screen that displays the questionnaire in a visible form.
[0044] In an embodiment of the present invention, the screen is equipped with touch-sensitive technology, allowing the user to interact directly with the display using their fingers. A touch controller IC (Integrated Circuit) is responsible for processing the analog signals generated when the user inputs details. A touch controller is typically connected to the microcontroller through various interfaces which may include but are not limited to PI (Serial Peripheral Interface) or I2C (Inter-Integrated Circuit).
[0045] The adaptive questionnaire ensures that candidates are only presented with relevant and customized questions that correspond to their qualification level and role applicability, thereby optimizing assessment efficiency.
[0046] For example, a candidate categorized as a “Mid-level front end Developer” is presented with a touchscreen questionnaire focused on mid-level concepts like object-oriented concept, database normalization, and basic design. The touch-enabled display unit 108 adapts the questionnaire to match their rank, ensuring relevancy and avoiding overly simple or excessively advanced questions.
[0047] A first microphone 109 is securely mounted on the surface 102 to capture vocal responses from the candidate as they answer the displayed questionnaire. The first microphone 109 plays a crucial role by converting spoken words or commands into electrical signals which are then processed and analyzed to trigger specific actions. When the user answers the displayed questionnaire, their vocal cords vibrate, creating sound waves. These sound waves travel through the air as variations in air pressure.
[0048] In an embodiment of the present invention, the first microphone 109 mentioned herein is a transducer that converts these variations in air into electric signals. The analog electrical signal is converted into digital form which is done by an analog-to-digital converter (ADC). The digital signal is then subjected to various signal processing techniques to enhance voice quality and eliminate noise.
[0049] These verbal responses are digitized and saved in the memory, which is connected to the microcontroller. In another embodiment of the present invention, the collected audio data may be used for speech analysis, communication skills evaluation, and archival purposes, providing an additional dimension of insight into the candidate’s capabilities.
[0050] For example, during the session, the candidate is asked to “explain the difference between an abstract class and an interface.” The user speaks into the first microphone 109, and their answer is recorded and saved into the memory. Later, this recording is analysed for clarity, fluency, and depth of understanding.
[0051] A Photoplethysmography (PPG) sensor is embedded within the sitting arrangement, which is used to detect and monitor vital signs of the candidate while they respond to the questionnaire. The PPG sensor uses a light emitting diode, typically in the red or infrared spectrum, to emit light. The emitted light travels through the skin of the user and underlying tissues. The photodetector converts the received light into an electrical signal which is then processed to create a PPG waveform, which represents the variations in blood volume.
[0052] This signal is then received When the light encounters blood vessels, it interacts with the red blood cells. A photodetector captures the reflected or transmitted light. The PPG sensor measures variations in blood volume to monitor physiological indicators such as heart rate, stress level, or anxiety. These biometric readings offer valuable context to the verbal and behavioural responses of the candidate, enabling a more holistic evaluation.
[0053] A sensing unit is installed across multiple zones within the housing 101 to continuously detect behavioural parameters associated with both human resource personnel and candidates. The sensing unit comprises a plurality of artificial intelligence-based cameras 112 and a plurality of second microphones 113. The artificial intelligence-based cameras 112 are strategically positioned to capture visual data such as gestures, facial expressions, and posture.
[0054] The artificial intelligence based camera is constructed with a camera lens and a processor, wherein the camera lens is adapted to capture a series of images of the user. The processor carries out a sequence of image processing operations including pre-processing, feature extraction, and classification by utilizing machine learning and artificial intelligence protocols. The image captured by the cameras 112 is real-time visual images of the user. The artificial intelligence based cameras 112 transmits the captured image signal in the form of digital bits to the microcontroller.
[0055] The second microphones 113 are incorporated to record ambient and directed audio from users during interactions. The second microphone 113 mentioned herein follows the same working method as first microphone 109 to record audio of the users. The sensory data collected is transmitted to an analysis module configured with the microcontroller, which processes this input to generate insights into user behaviour, communication patterns, and emotional state.
[0056] For example, the artificial intelligence based camera 112 and second microphones 113 detect that a candidate frequently avoids eye contact and gives short, hesitant answers. Meanwhile, an HR professional repeatedly interrupts candidates during their responses. These behaviors are captured and analyzed by the microcontroller, offering unbiased insights into both candidate performance and interviewer conduct.
[0057] A holographic projection unit 114 is securely mounted within the housing 101 and is capable of projecting three-dimensional visual simulations that represent realistic work scenarios. These projections serve as virtual environments in which the actions of the candidate are monitored by the sensing unit to evaluate practical skills and responsiveness in task-based situations. On actuation of holographic projection unit 114 by the microcontroller, the light source emits various combination of lights towards the lens which is further portrayed in front of the user to project the virtual images to simulate work scenarios.
[0058] Furthermore, the holographic projection unit 114 is configured to simulate exemplary scenarios intended for training purposes, wherein the actions of the employees undergoing training are similarly captured by the sensing unit for evaluation, performance feedback, or coaching.
[0059] For example, the candidate is present into a team meeting where they must handle a disagreement between two virtual colleagues. The projection unit 114 displays the scenario, while the sensing unit tracks the candidate’s reaction whether they show leadership, conflict resolution skills, or freeze under pressure. Similarly, HR employees undergo training simulations where their responses to crisis scenarios are evaluated.
[0060] The analysis module, which is configured with the microcontroller, is tasked with analysing recorded data, including vocal responses from the first microphone 109, vital readings from the PPG sensor, and behavioural actions captured via the sensing unit. By synthesizing this multimodal data, the analysis module generates a report that provides detailed insights into the candidate’s communication abilities, physiological stress indicators, and interaction patterns. This report is prepared for and accessible by the human resource personnel to inform hiring decisions.
[0061] For example, after the assessment, the analysis module compiles a report showing that the candidate scored 85% on technical questions, had a calm physiological response, but lacked strong communication skills based on vocal hesitation, which helps HR decide whether the candidate is better suited for a backend technical role versus a client-facing one.
[0062] Affixed to an outer surface of the housing 101 is a touch-enabled display panel 116. The touch-enabled display panel 116 is intended to facilitate anonymous feedback from candidates after their evaluation session is complete. The candidate may rate their experience, report discomforts, or suggest improvements using this interface, thus ensuring that the HR itself is subject to continuous refinement based on user feedback.
[0063] Before exiting, the candidates need to tap on the display panel 116 to rate their experience. For instance, the user gives a score of 4/5 and suggest adding more preparation time before the holographic task. Because the feedback is anonymous, they feel comfortable being honest without fear of repercussion.
[0064] An artificial intelligence-based imaging unit 115 is integrated with a processor to record and process images within the vicinity of the housing 101, specifically focusing on the facial expressions of the candidate while they provide feedback. The processor analyzes the captured expressions to determine emotions such as satisfaction, frustration, or anxiety. These determined emotions are then recorded in association with the textual or touch input feedback and stored for reference by human resource personnel, offering additional context to the feedback for more accurate interpretation and action.
[0065] While the candidate provides feedback, the imaging unit 115 captures their facial expressions. Though they rated the system positively, the processor detects subtle signs of frustration in their expression. This emotion detection is tagged to their feedback, alerting HR that while the score is high, some part of the process may have caused discomfort and warrants review.
[0066] The present invention works best in the following manner, where the system operates within the housing 101 that features the raised work surface 102 and the plurality of sitting arrangements 103 disposed within the housing 101 to accommodate candidates and human resource personnel. Upon arrival, candidates submit physical resumes, which are placed into the multi-section chamber 104 mounted over the surface 102. Each section of the chamber 104 is designated for organized storage of documents. the motorized roller 201, installed within each section of the chamber 104 by means of the linear actuator 202, facilitates the dispensing of documents via the opening 105 formed at the front portion of the section of the chamber 104, allowing controlled access to individual resumes. As the document is dispensed, the OCR (optical character recognition) sensor 106 mounted on the articulated L-shaped telescopic rod 107, positioned on the surface 102, captures and extracts text from the document. This data is saved in the digital format into the memory linked with the microcontroller. The extracted textual content is then processed by the segregating module configured with the OCR sensor 106, which categorizes and ranks the resumes based on their alignment with predefined qualification requirements, which enables the human resource personnel to focus on candidates who are most likely to be suitable for the role. Following categorization, the resumes are transferred to the multi-channel sorting conveyor 110 that sorts the resumes in accordance with their assigned rank and category into specific compartments 111 located at the ends of the channels. Meanwhile, the touch enabled display unit 108 presents the dynamic questionnaire to each candidate. The content of the questionnaire is customized to the candidate’s resume rank and category, as determined by the segregating module. The candidates respond to the questionnaire verbally using the first microphone 109 mounted on the surface 102, which records their responses into the memory.
[0067] In continuation, simultaneously, the Photoplethysmography (PPG) sensor measures the candidate’s vitals in response to the questionnaire, offering insight into physiological states such as stress or anxiety. Throughout the session, the sensing unit monitors behavioral parameters of both candidates and human resource personnel. This sensing unit comprises the plurality of artificial intelligence based cameras 112 to capture visuals of the users and the plurality of second microphones 113 to record their audio. The collected data is sent to the analysis module configured with the microcontroller. This module analyzes the visuals, audio, vocal responses, vitals, and other actions to generate the comprehensive behavioral insight report. To further assess the practical capabilities of candidates, the holographic projection unit 114 is actuated to project visuals that simulate real-life work scenarios. As the candidate interacts with these scenarios, the sensing unit captures their actions for skill evaluation. These practical interactions are also analyzed by the analysis module to assess competencies relevant to the job. At the end of the session, candidates are invited to provide feedback via the touch-enabled display panel 116 mounted on the outer surface of the housing 101. Adjacent to this panel 116, the artificial intelligence-based imaging unit 115, integrated with the processor, captures and processes images in the vicinity to detect facial expressions of the candidate, which enables the microcontroller to determine the emotion felt by the user during the feedback process. The analysis module records the determined emotions along with the feedback to assist human resource personnel in evaluating the overall candidate experience and system effectiveness.
[0068] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A human resource hiring and training system, comprising:
i) a housing 101 with a raised work surface 102 and a plurality of sitting arrangements 103 disposed within the housing 101;
ii) a multi-section chamber 104 mounted over the surface 102 for storage of documents including resumes in an organised manner;
iii) a motorised roller 201 is installed within each section of the chamber 104 by means of a linear actuator 202 for dispensing documents via an opening 105 formed at a front portion of the section of the chamber 104;
iv) an OCR (optical character recognition) sensor 106 provided on the surface 102 by means of an articulated L-shaped telescopic rod 107, for extracting text from documents to save in a digital format in a memory linked with a microcontroller;
v) a segregating module configured with the OCR sensor 106 to categorise and rank fed resumes based on match with predefined qualification requirements, to enable the human resource personnel to hire a suitable candidate;
vi) a touch enabled display unit 108 provided over the surface 102 to display a questionnaire to a candidate, wherein the questionnaire is in accordance with a rank and category of candidate’s resume determined by the segregating module;
vii) a first microphone 109 is mounted on the surface 102 to enable the candidate to provide vocal responses to the questionnaire, to be stored onto the memory; and
viii) a Photoplethysmography (PPG) sensor embedded with the sitting arrangement 103 to detect vitals of the candidate by responding to the questionnaire.
2) The system as claimed in claim 1, wherein a multi-channel sorting conveyor 110 is installed adjacent to the chamber 104, for sorting the resumes in accordance with rank and category, into specific compartments 111 provided at the ends of the channels of the conveyor 110.
3) The system as claimed in claim 1, wherein a sensing unit is installed throughout the housing 101 to detect parameters relating to behaviour of human resource personnel and candidates, to feed into an analysis module configured with the microcontroller to generate insights into behaviour of the human resource personnel and candidates.
4) The system as claimed in claim 1, wherein the sensing unit comprises a plurality of artificial intelligence-based cameras 112 to capture visuals of user, a plurality of second microphones 113 to record audio of the users.
5) The system as claimed in claim 1, wherein a holographic projection unit 114 is mounted within the housing 101 to project visuals to simulate work scenarios, wherein actions of the candidate are captured by the sensing unit for testing of practical skills.
6) The system as claimed in claim 1, wherein an analysis module is configured with microcontroller to analyse the recorded vocal responses, vitals and actions to generate a report for reference of the human resource personnel.
7) The system as claimed in claim 1, wherein the holographic projection unit 114 is actuated to project visuals to simulate exemplary scenarios, wherein actions of the employees are captured by the sensing unit training purposes.
8) The system as claimed in claim 1, wherein a touch-enabled display panel 116 is mounted with an outer surface of the housing 101, to enable the candidate to provide anonymous feedback.
9) The system as claimed in claim 1, wherein an artificial intelligence-based imaging unit 115, installed adjacent to the display panel 116 and integrated with a processor for recording and processing images in a vicinity of the housing 101, to capture facial expressions of the candidate providing feedback to determine an emotion felt by the user to record the determined emotions with the feedback for reference of a human resource personnel.
| # | Name | Date |
|---|---|---|
| 1 | 202521050669-STATEMENT OF UNDERTAKING (FORM 3) [27-05-2025(online)].pdf | 2025-05-27 |
| 2 | 202521050669-REQUEST FOR EXAMINATION (FORM-18) [27-05-2025(online)].pdf | 2025-05-27 |
| 3 | 202521050669-REQUEST FOR EARLY PUBLICATION(FORM-9) [27-05-2025(online)].pdf | 2025-05-27 |
| 4 | 202521050669-PROOF OF RIGHT [27-05-2025(online)].pdf | 2025-05-27 |
| 5 | 202521050669-POWER OF AUTHORITY [27-05-2025(online)].pdf | 2025-05-27 |
| 6 | 202521050669-FORM-9 [27-05-2025(online)].pdf | 2025-05-27 |
| 7 | 202521050669-FORM FOR SMALL ENTITY(FORM-28) [27-05-2025(online)].pdf | 2025-05-27 |
| 8 | 202521050669-FORM 18 [27-05-2025(online)].pdf | 2025-05-27 |
| 9 | 202521050669-FORM 1 [27-05-2025(online)].pdf | 2025-05-27 |
| 10 | 202521050669-FIGURE OF ABSTRACT [27-05-2025(online)].pdf | 2025-05-27 |
| 11 | 202521050669-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [27-05-2025(online)].pdf | 2025-05-27 |
| 12 | 202521050669-EVIDENCE FOR REGISTRATION UNDER SSI [27-05-2025(online)].pdf | 2025-05-27 |
| 13 | 202521050669-EDUCATIONAL INSTITUTION(S) [27-05-2025(online)].pdf | 2025-05-27 |
| 14 | 202521050669-DRAWINGS [27-05-2025(online)].pdf | 2025-05-27 |
| 15 | 202521050669-DECLARATION OF INVENTORSHIP (FORM 5) [27-05-2025(online)].pdf | 2025-05-27 |
| 16 | 202521050669-COMPLETE SPECIFICATION [27-05-2025(online)].pdf | 2025-05-27 |
| 17 | Abstract.jpg | 2025-06-12 |