DESC:

FORM 2
THE PATENTS ACT, 1970
(39 OF 1970)
&
The Patents Rules, 2003
COMPLETE SPECIFICATION
(See section 10; rule 13)

1. Title of the invention: AN AI-BASED SMART RECRUITER ASSISTANT

2. Applicant(s)
(a) NAME: ROOTLE VOCONV PRIVATE LIMITED
(b) NATIONALITY: INDIAN
(c) ADDRESS: 1301, 13TH FLOOR, B SQUARE, ISCON AMBALI BRTS ROAD, AMBLI, DASKROI, AHMEDABAD-380058, GUJARAT

3. PREAMBLE TO THE DESCRIPTION

The following specification particularly describes the invention and the manner in which it is to be performed.

AN AI-BASED SMART RECRUITER ASSISTANT
FIELD OF INVENTION:

The present invention relates to an AI-based smart recruiter assistant to recruitment and screening the candidate for the job. It is a system of an AI-based smart recruiter that selects the interested candidate and shortlists the candidates for the job.

BACKGROUND OF INVENTION:

Currently, jobs are limited, and candidates are more than actual vacancies. Approximately 10 to 15 per cent more candidates are applying for the job vacancies.
Among the applied candidates, only 2 per cent are interested or have the required skills for an acceptable level of performance.

In case of Candidates hunting, there are huge number of active candidates are available on different job boards. These profiles on job boards are not up to date. So, Recruiters need to reach out to them and check these details and provide them the details which consists of prescreening, interest check, document reminders, interview reminders, interview feedback. Etc.

The screening method can help ensure that candidates meet the minimum requirements for the job. For example, if a job requires a certain level of education or experience, a screening method can filter out candidates who must meet these criteria. Engaging and identifying or screening the potential of candidates for job openings is a critical and time-consuming task for the recruiter.

The traditional recruitment method and pre-screening of the candidates need more efficiency. There are large numbers of candidates who are uninterested in the job opening. During this job opening, they shifted to another job while screening the candidates from the applied candidates.

Recruiters have multiple options to screen candidates, such as skill testing, resume and cover letter review, phone and social media screening, video interviews, and trial projects or work assignments. There are pros and cons to each method.

One of the methods used for assessing candidates is phone call screening. It involves an initial phone interview to evaluate the candidate's qualifications, experience, and overall suitability for the position. One of the benefits of using a phone call screening method is that it allows employers to quickly and efficiently screen a large pool of candidates. By conducting brief phone interviews, employers can get a sense of a candidate's qualifications and experience before deciding whether to invite them for an in-person interview.

However, there are some drawbacks to this approach. The recruiter often spends a significant portion of their daily activity manually calling the candidate and shortlisting the interested and valid candidates for the job. This process takes a longer time and is very stressful for the recruiter. The recruiter is further restricted by business hours, making it difficult to call the potential candidate during off-business and weekends.

One of the inventions disclosed in the prior art AU2020396798A1 relates to a digital recruitment system and a method to enable a candidate to create, edit, and upload a multimedia comprising a job application containing video, audio etc. in one or more sections to apply for a job is provided. Further, the system allows the candidate and recruiter(s) to exchange information via videos (or multimedia), video chats, audio chats, etc. The system protects a job application and/or a multimedia response from the recruiter from editing by a third person other than an owner, wherein the candidate is the owner of the job application and the recruiter is the owner of the multimedia response. The system may embed time and location information into the multimedia, allowing the users (candidates and recruiters) to generate authentic multimedia.

One of the major drawbacks for Job seekers is that they often encounter challenges when working with multimedia components while creating, viewing, or uploading job applications. This can be due to various factors, such as technical glitches, compatibility issues, or problems with internet connectivity. These hurdles can hurt both users and the recruitment process as a whole.

OBJECT OF INVENTION:

The principal object of the present invention is to overcome all the mentioned and existing drawbacks of the prior arts by providing an AI-based smart recruiter assistant for screening the candidate for the job.

Another object of the present invention is to provide an AI-based smart recruiter assistant that significantly reduces the time and effort spent by recruiters on routine and monotonous calls.

Another object of the present invention is to provide an AI-based smart recruiter assistant in which an AI-powered voice assistant can help with the challenges of pre-screening candidates by automating the call.

Another object of the present invention is to provide an AI-based smart recruiter assistant that helps in reaching out to a large number of candidates, which is a sluggish procedure.

Another object of the present invention is to provide an AI-based smart recruiter assistant to reach out to candidates during off-business hours and weekends.

Another object of the present invention is to provide an AI-based smart recruiter assistant that identifies the interested candidate from the applied candidate.

Another object of the present invention is to provide an AI-based smart recruiter assistant, which speeds up the time to recruitment by ten times.

SUMMARY OF THE INVENTION:

This summary is provided to introduce a selection of concepts in a simplified form that is further disclosed in the detailed description of the invention. This summary is not intended to identify essential inventive concepts of the claimed subject matter, nor is it intended for determining the scope of the claimed subject matter.

The present invention is all about an AI-based smart recruiter assistant.

The main aspect of the present invention is to provide an AI-based smart recruiter assistant for recruiters, which consists of an AI-powered voice assistant built to help recruiters make pre-screening calls.

Another aspect of the present invention is to provide an AI-based smart recruiter assistant which helps recruiters find interested candidates.

Another aspect of the present invention is to provide an AI-based smart recruiter assistant, which is reaching out to candidates during off-business hours and weekends, which is impossible for a recruiter.

BRIEF DESCRIPTION OF THE DRAWINGS:

The foregoing summary, as well as the following detailed description of the invention, is better understood when read in conjunction with the appended drawing. For the purpose of illustrating the invention.

FIG.1 illustrates, the block diagram of the AI-based smart recruiter assistant.
FIG. 2 illustrates, in a flowchart, operations for integrating an AI recruitment assistant with a system for data exchange.
FIG. 3 illustrates automating initial candidate screening using an AI-based recruitment assistant.
FIG. 4 illustrates identifying interested candidates using an AI-based recruitment assistant.
FIG. 5 illustrates integrating an AI-based recruitment assistant with various systems for recruitment.
FIG. 6 illustrates integrating an AI-based recruitment assistant with a frontend-backend system for data management.

DETAILED DESCRIPTION OF THE INVENTION:

The present invention overcomes the aforesaid drawbacks of the above, and other objects, features, and advantages of the present invention will now be described in greater detail. Also, the following description includes various details and is regarded as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that without departing from the scope and spirit of the present disclosure and its various embodiments, there may be any number of changes and modifications described herein.

According to one embodiment, the present invention discloses an AI-based smart recruiter with a recruitment tool that screens candidates for the job, reducing the recruitment time and making the process easier for recruiters.

As per the detailed embodiment of the present invention, AI-based smart recruiter assistant system comprising:
a frontend-backend system, configured to interface with users, provide interactive job search and recruitment functionalities, and manage data communication between the frontend user interface and backend processing modules;
a call manager system, configured to handle and manage incoming and outgoing recruitment-related calls, track communication events, and integrate with the system to enable interaction with job candidates;
a conversational AI system, configured to interact with users through natural language processing, conduct recruitment-related conversations, gather user information, and provide feedback based on predefined recruitment criteria;
an AI models, trained to evaluate candidate profiles, predict job suitability, rank candidates, and assist in decision-making during the recruitment process based on historical data and machine learning techniques;
a transcription manager system, configured to record, transcribe, and analyze voice communications during recruitment processes, and integrate transcriptions into the data storage for future reference and analysis;
a data storage system, configured to store user profiles, candidate information, conversation logs, transcriptions, recruitment data, and other related information for retrieval, processing, and decision-making, as shown in the block diagram shown in Fig. 1.

As per the detailed embodiment of the present invention, said AI-based smart recruiter assistant for automating the recruitment process, the method comprising:
providing an AI-based recruitment assistant for recruiters to assist in the recruitment process,
making pre-screening calls to candidates using the AI-based recruitment assistant to automate the initial screening process,
selecting interested candidates based on the pre-screening calls using the AI-based recruitment assistant,
shortlisting the candidates for the job using the AI-based recruitment assistant to narrow down the pool of candidates,
reaching out to candidates during off-business hours and weekends using the AI-based recruitment assistant to contact candidates outside of regular working hours.

As per the detailed embodiment of the present invention, the frontend system is mainly used to send questions and requests and receive data from the host system. It serves or allows users to interact with and use an information system. The front-end systems have minimal computational or business logic processing capabilities and are based on the data and functions of the host system.

As per the detailed embodiment of the present invention, said backend serves as the backbone of a company or website, effectively managing data collected from users and other processing systems.

As per the detailed embodiment of the present invention, said front-end and said back-end systems are the starting and ending points of any software or network processing system. The front end of the application receives direct input from the user, and the back end collects and manages the data entered by the user.

As per the detailed embodiment of the present invention, the call management system being capable of managing the calls. The advanced call management system of the proposed invention has revolutionised the way to contact candidates. The AI-based call management system manages the AI-powered calling system's initiation, routing and monitoring.

As per a detailed embodiment of the present invention, a conversational AI refers to the system or module that facilitates communication between candidates and an AI. It allows for more natural and intuitive communication between candidates and machines, improving efficiency and user experience. This module engages candidates in genuine and informative conversations about job descriptions, responsibilities, and organizational culture. It extracts relevant information from the candidate’s responses and asks for more details.

As per the detailed embodiment of the present invention, said AI module is integrated into the system because to measure the sentiment and interest of the candidates accurately, it uses advanced natural language processing and audio processing techniques to analyse candidate's voice cues, tone and word choice, thereby determining their enthusiasm and aptitude for the job.

As per the detailed embodiment of the present invention, a transcription technology being capable of converting human speech into written text, providing a more efficient and accurate way of transcribing important audio and visual content. These transcriptions serve as valuable references for recruiters to gain insights into candidate interactions and aid in decision-making processes.

As per the detailed embodiment of the present invention, said generative AI summaries have been generated from the transcribing process of recruitment, providing recruiters’ visualization platform that can be employed to review and select the most suitable candidate for a job. With the help of AI-based assistants, recruiters can now make informed decisions based on objective data, reducing the risk of bias and increasing the overall efficiency of the recruitment process.

As per the detailed embodiment of the present invention, said AI-based smart recruiter assistant being capable of analysing the sentiment of candidates. This allows for valuable insight into the candidate's personality traits and work ethic, which in turn can aid in making a more informed decision. The advanced analysis capabilities of the AI-powered recruiter can significantly expedite the recruitment process, reducing it by up to ten times. This efficiency level can save recruiters and their companies significant time and resources, ultimately leading to increased success.

Using an AI-based smart recruiter assistant has proven highly beneficial for recruiters. This technology can eliminate the time-consuming and monotonous task of manually screening candidates, freeing up valuable time and resources that can be redirected towards more pressing tasks. Furthermore, an AI-based smart recruiter can operate outside of business hours and weekends, enabling it to reach potential candidates beyond the constraints of the standard working day. This ensures that no promising candidates are overlooked, increasing the chances of finding the best-suited individual for the role.

Incorporating an AI-powered recruiter assistant into the recruitment process can result in numerous benefits, including increased efficiency, improved accuracy, and tremendous success for recruiters and their organizations.

The present invention as disclosed herein can be understand elaborately through the flowcharts as shown in Fig. 2 to Fig. 6. As shown in Fig. 2 to Fig. 6 of the present invention, in step 100, the process begins with providing an AI-based recruitment assistant for recruiters to assist in the recruitment process. This step is foundational in the context of the AI-based smart recruiter assistant, which is designed to streamline and enhance the recruitment process through automation and advanced AI capabilities.

The AI-based recruitment assistant integrates various technological components to facilitate the recruitment process. It automates pre-screening calls, manages recruitment processes, and assists recruiters in candidate selection. The AI-based smart recruiter assistant embodies these functionalities through its integration with systems such as the call management system and the AI-powered voice assistant. These components work in tandem to reduce the time and effort traditionally required in recruitment, thereby increasing efficiency. The AI-based recruitment assistant's ability to reach out to candidates during off-business hours and weekends further exemplifies its role in enhancing recruitment capabilities, making it a versatile tool for recruiters. This step sets the stage for subsequent actions that involve more specific functionalities of the AI-based recruitment assistant, such as making pre-screening calls and shortlisting candidates, which are detailed in the following steps.

In step 102, the process involves making pre-screening calls to candidates using the AI-based recruitment assistant to automate the initial screening process. This step is further detailed in sub-steps 102-a, and 102-b. In sub-step 102-a, the AI-based recruitment assistant comprises an AI-powered voice assistant specifically designed for making these pre-screening calls. This highlights the integration of an AI-powered voice assistant, which facilitates the automation of the pre-screening process. The AI-powered voice assistant is responsible for initiating and conducting calls with candidates, thereby reducing the manual effort typically required in the initial stages of recruitment.
Sub-step 102-b elaborates on the use of natural language processing and audio processing techniques by the AI-based recruitment assistant to measure the sentiment and interest of candidates during these pre-screening calls. This underscores the advanced capabilities of the AI module within the recruitment assistant, which employs sophisticated natural language processing and audio processing to assess candidate responses. By analyzing the sentiment and interest levels, the AI module aids in identifying candidates who are genuinely interested in the job opportunity, thus streamlining the recruitment process.

The AI-powered voice assistant, as part of the AI-based recruitment assistant, automates the pre-screening calls, thereby assisting recruiters in making these calls efficiently. This automation not only reduces the time and effort spent by recruiters but also enhances the overall efficiency of the recruitment process. The AI module's ability to analyze candidate sentiment and interest further supports recruiters in identifying suitable candidates, making the recruitment process more targeted and effective. These features collectively illustrate how the AI-based recruitment assistant, through its AI-powered voice assistant and advanced processing techniques, transforms the initial screening process into a more efficient and insightful operation.

In step 104, the AI-based recruitment assistant is employed to select interested candidates based on the pre-screening calls. This step is further detailed in sub-step 104-a, where the AI-based recruitment assistant aids recruiters in identifying candidates who exhibit interest in the job opportunity during these pre-screening interactions. The AI-based recruitment assistant automates the recruitment process, particularly in the initial stages of candidate selection. It leverages advanced technologies such as natural language processing and audio processing to discern the sentiment and interest levels of candidates, thereby streamlining the recruitment process.

The AI-based smart recruiter assistant embodies these functionalities by integrating an AI-powered voice assistant that facilitates pre-screening calls. This system is designed to efficiently manage recruitment processes, reducing the time and effort traditionally required by recruiters. The AI module within the system plays a crucial role in analyzing candidate sentiment, which is pivotal in identifying candidates who are genuinely interested in the job opportunity.

The actions associated with the AI-based recruitment assistant, such as automating pre-screening calls and finding interested candidates, are crucial for enhancing recruitment capabilities. These actions are supported by the AI-based smart recruiter assistant's ability to manage recruitment processes and assist recruiters in candidate selection. The system's ability to reach out to candidates during off-business hours and weekends further exemplifies its capability to enhance recruitment efficiency, ensuring that recruiters can engage with potential candidates at times that are convenient for the candidates, thereby increasing the likelihood of identifying interested candidates.

Overall, step 104 and its sub-step 104-a illustrate the AI-based recruitment assistant's role in transforming the recruitment process by automating candidate selection and identifying interested candidates, thereby optimizing the recruitment workflow and improving the overall efficiency of the recruitment process.

In step 106, the AI-based recruitment assistant is employed to shortlist candidates for the job, effectively narrowing down the pool of candidates. This step involves the AI-based smart recruiter assistant, which is designed to assist recruiters by automating the shortlisting process. The AI-based smart recruiter assistant integrates various components such as AI-powered voice assistants and AI modules to streamline recruitment tasks. The shortlisting process is facilitated by the AI-based recruitment assistant's ability to manage recruitment processes efficiently. This involves the automation of pre-screening calls and the identification of interested candidates, which are essential actions that lead to the shortlisting of candidates. The AI-based smart recruiter assistant, through its advanced capabilities, reduces the time and effort required by recruiters, thereby enhancing the overall efficiency of the recruitment process. This exemplifies how the AI-based recruitment assistant can transform traditional recruitment methods by leveraging AI technologies to optimize candidate selection and management.

In step 108, the AI-based recruitment assistant exemplifies its capability to reach out to candidates during off-business hours and weekends, thereby contacting candidates outside of regular working hours. This is particularly significant as it enhances the recruitment process by allowing continuous engagement with potential candidates, which is traditionally constrained by the working hours of human recruiters. The AI-based smart recruiter assistant is designed to operate autonomously, leveraging its AI-powered functionalities to maintain communication with candidates even when human recruiters are unavailable. This feature is facilitated by the integration of various components such as the call management system and the AI-powered voice assistant, which collectively automate the process of initiating and managing calls. The system's ability to function during non-business hours not only broadens the window of opportunity for candidate interaction but also significantly increases the efficiency and speed of the recruitment process. By automating these interactions, the AI-based smart recruiter assistant reduces the time and effort traditionally required by recruiters, thereby streamlining the recruitment workflow and ensuring that no potential candidate is overlooked due to time constraints. This feature of the AI-based recruitment assistant is a testament to its advanced capabilities in modernizing and optimizing recruitment practices.

In step 110, the AI-based recruitment assistant generates summaries of the pre-screening calls using generative AI to provide recruiters with a visualization platform to review and select the most suitable candidates. This step leverages advanced AI technologies to synthesize and present data in a manner that is both accessible and actionable for recruiters. The AI-based recruitment assistant employs generative AI summaries to transform the raw data from pre-screening calls into concise and informative summaries. These summaries serve as a visualization platform, enabling recruiters to efficiently review candidate information and make informed decisions regarding candidate suitability.

The generative AI technology is adept at processing large volumes of data, extracting pertinent information, and presenting it in a structured format that highlights key insights about each candidate. This capability is particularly beneficial in scenarios where recruiters need to quickly assess a candidate's potential fit for a role based on the pre-screening interactions. By automating the summarization process, the AI-based recruitment assistant significantly reduces the time and effort required by recruiters to manually sift through call data, thereby streamlining the recruitment workflow.

Furthermore, the integration of generative AI within the recruitment assistant enhances recruitment capabilities by providing a sophisticated tool for data visualization and analysis. This integration not only aids in the selection of the most suitable candidates but also contributes to a more efficient and effective recruitment process overall. The use of generative AI summaries as a visualization platform is an example of how AI technologies can be harnessed to improve decision-making in recruitment, offering recruiters a powerful resource to navigate the complexities of candidate evaluation.

In step 112, the AI-based recruitment assistant is integrated with a frontend-backend system for sending questions and requests and receiving data from a host system. This integration allows the recruitment assistant to effectively manage the flow of information between the user interface and the backend processes, ensuring seamless communication and data exchange. The frontend-backend system serves as the backbone of the recruitment process, facilitating the interaction between recruiters and the AI system.

Sub-step 112-a elaborates on the integration of the AI-based recruitment assistant with a call management system, which is responsible for managing call initiation, routing, and monitoring. This system ensures that calls are efficiently handled, providing a structured approach to managing candidate interactions. The call management system automates and streamlines the pre-screening process, reducing the manual effort required by recruiters.

Sub-step 112-b highlights the use of conversational AI to facilitate communication between candidates and the AI-based recruitment assistant. This technology enables natural and intuitive interactions, enhancing the candidate experience and allowing the AI system to gather valuable insights into candidate preferences and suitability for the job. Conversational AI is a key component in assessing candidate sentiment and interest, as it leverages advanced natural language processing techniques to interpret and respond to candidate inputs.

Sub-step 112-c describes the use of transcription technology to convert human speech from the pre-screening calls into written text. This feature is essential for creating accurate records of candidate interactions, which can be reviewed and analyzed by recruiters to make informed decisions. The transcription technology ensures that all verbal communications are documented, providing a reliable source of information for the recruitment process.

Sub-step 112-d involves the integration of the AI-based recruitment assistant with a data storage system for storing data related to the recruitment process. This system ensures that all candidate information, call records, and interaction data are securely stored and easily accessible for future reference. The data storage system supports the overall efficiency of the recruitment process by maintaining an organized repository of information that can be used to track candidate progress and outcomes.
Overall, step 112 and its sub-steps illustrate the comprehensive integration of various systems and technologies within the AI-based recruitment assistant, enhancing its capability to automate and manage the recruitment process effectively. These integrations exemplify the assistant's role in reducing the time and effort required by recruiters, while also improving the speed and accuracy of candidate selection.

In step 114, the AI-based recruitment assistant is described as reducing the time and effort spent by recruiters on the pre-screening process. This step highlights the efficiency brought about by the AI-based smart recruiter assistant. The AI-based smart recruiter assistant automates the pre-screening calls, which contributes to the reduction of time and effort. This automation is facilitated by the AI-powered voice assistant, which is an integral component of the system. The AI-powered voice assistant helps recruiters make pre-screening calls, thereby streamlining the initial stages of candidate selection. Additionally, the AI-based smart recruiter assistant manages recruitment processes, which further aids in reducing the manual workload on recruiters. This management is achieved through the integration of various systems such as the call management system, which handles call initiation, routing, and monitoring, and the AI module, which analyzes candidate sentiment to assess interest and suitability. The AI-based smart recruiter assistant's ability to reach out to candidates during off-business hours and weekends also enhances recruitment capabilities, allowing for a more flexible and efficient process. Implicitly, the system's backend and data storage components play a role in managing and storing recruitment data, ensuring that the process is not only efficient but also organized and reliable. Overall, step 114 exemplifies how the AI-based smart recruiter assistant embodies a sophisticated integration of technologies to optimize the recruitment process, making it faster and less labor-intensive for recruiters.

In step 116, the AI-based recruitment assistant exemplifies an increase in the speed of the recruitment process by approximately ten times compared to manual pre-screening methods. This enhancement is primarily facilitated by the AI-based smart recruiter assistant, which automates the pre-screening calls and the management of recruitment processes. The AI-based smart recruiter assistant automates the pre-screening calls, thereby significantly reducing the time and effort traditionally expended by recruiters. This automation is achieved through the integration of various components such as the AI-powered voice assistant and the call management system, which collectively streamline the recruitment process. The AI-powered voice assistant, in particular, plays a pivotal role in making pre-screening calls, thereby assisting recruiters in candidate selection and efficient recruitment management. Additionally, the call management system manages the initiation, routing, and monitoring of calls, further contributing to the expedited recruitment process. The AI-based smart recruiter assistant, through these integrated systems, exemplifies a substantial increase in recruitment speed, thereby enhancing the overall efficiency and effectiveness of the recruitment process.

In step 200, the AI-based recruitment assistant is integrated with a frontend-backend system for sending questions and requests and receiving data from a host system. This integration is crucial for the seamless operation of the recruitment process, as it allows the AI-based recruitment assistant to effectively communicate with the host system, ensuring that all necessary data is exchanged efficiently. The frontend-backend system serves as the backbone of the recruitment process, managing the flow of information between the AI-based recruitment assistant and the host system. This integration is further elaborated in sub-step 200-a, where the backend system is responsible for managing data collected from users and other processing systems. This management of data is essential for maintaining the integrity and accuracy of the recruitment process, as it ensures that all data is properly stored and accessible when needed. The backend system's role in managing data also supports the AI-based recruitment assistant's ability to automate pre-screening calls, find interested candidates, and manage recruitment processes efficiently. By integrating with a frontend-backend system, the AI-based recruitment assistant can enhance its recruitment capabilities, reduce the time and effort spent by recruiters, and increase the speed of the recruitment process. This integration exemplifies an efficient recruitment management system, where the AI-based recruitment assistant leverages the capabilities of the frontend-backend system to streamline the recruitment process and improve overall efficiency.

Without further description, it is believed that one of ordinary skill in the art can, using the preceding description and the illustrative examples, make and utilize the present invention and practice the claimed methods. It should be understood that the foregoing discussion and examples merely present a detailed description of certain preferred embodiments. It will be apparent to those of ordinary skill in the art that various modifications and equivalents can be made without departing from the spirit and scope of the invention.
,CLAIMS:CLAIMS:
WE CLAIM:
1. An AI-based smart recruiter assistant for automating the recruitment process, the method comprising:
providing an AI-based recruitment assistant for recruiters to assist in the recruitment process,
making pre-screening calls to candidates using the AI-based recruitment assistant to automate the initial screening process,
selecting interested candidates based on the pre-screening calls using the AI-based recruitment assistant,
shortlisting the candidates for the job using the AI-based recruitment assistant to narrow down the pool of candidates,
reaching out to candidates during off-business hours and weekends using the AI-based recruitment assistant to contact candidates outside of regular working hours.

2. The method as claimed in claim 1, wherein the AI-based recruitment assistant comprises an AI-powered voice assistant for making the pre-screening calls.

3. The method as claimed in claim 1, wherein the AI-based recruitment assistant uses natural language processing and audio processing techniques to measure the sentiment and interest of the candidates during the pre-screening calls.

4. The method as claimed in claim 1, wherein the AI-based recruitment assistant generates summaries of the pre-screening calls using generative AI to provide recruiters with a visualization platform to review and select the most suitable candidates.

5. The method as claimed in claim 1, wherein the AI-based recruitment assistant is integrated with a frontend-backend system for sending questions and requests and receiving data from a host system.

6. The method as claimed in claim 5, wherein the backend system being capable of managing the data collected from users and other processing systems.

7. The method as claimed in claim 1, wherein the AI-based recruitment assistant is integrated with a call management system for managing call initiation, routing, and monitoring.

8. The method as claimed in claim 1, wherein the AI-based recruitment assistant uses transcription technology to convert human speech from the pre-screening calls into written text.

9. The method as claimed in claim 1, wherein the AI-based recruitment assistant is integrated with a data storage system for storing data related to the recruitment process.

10. An AI-based smart recruiter assistant system comprising:
a frontend-backend system, configured to interface with users, provide interactive job search and recruitment functionalities, and manage data communication between the frontend user interface and backend processing modules;
a call manager system, configured to handle and manage incoming and outgoing recruitment-related calls, track communication events, and integrate with the system to enable interaction with job candidates;
a conversational AI system, configured to interact with users through natural language processing, conduct recruitment-related conversations, gather user information, and provide feedback based on predefined recruitment criteria;
an AI models, trained to evaluate candidate profiles, predict job suitability, rank candidates, and assist in decision-making during the recruitment process based on historical data and machine learning techniques;
a transcription manager system, configured to record, transcribe, and analyze voice communications during recruitment processes, and integrate transcriptions into the data storage for future reference and analysis;
a data storage system, configured to store user profiles, candidate information, conversation logs, transcriptions, recruitment data, and other related information for retrieval, processing, and decision-making.

Dated this on 22nd OCT 2024