A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Online platforms
Job search
Application procedure
Labour market
Application process
Software system
Resume submission
User-centric approach
Job hunters
Desired locations
Occupations.
Abstract
With the introduction of online platforms, the job search and application procedure has undergone a revolution in today's labour market. Even while these platforms make an effort to meet the various needs of job searchers, one important factor to keep in mind is how complicated the application process can be. Acknowledging the need for effectiveness and solutions that are easy to use, this study starts to create a novel software system. By automating the traditional resume submission procedure, this system enables applicants to send their resumes to a variety of potential companies with ease.
A user-centric approach is part of the software's primary functionality. With their resumes in hand, job hunters can now pick and choose between desired locations and occupations in the complex web of employment chances. The system then instantly forwards customized resumes to potential employers after using advanced algorithms to match the candidate's profile with suitable job openings. The main purpose of the software's functionality is to give candidates a dynamic and interactive tool for browsing the vast array of job opportunities. Candidates who have their resumes ready can use voice commands to express their preferences, just like they would when speaking with a personal AI assistant. Inspired by platforms such as Alexa, the integrated AI voice assistant does more than just comprehend and reply to questions; it also actively helps applicants find out more information about particular job roles, sectors, and online professional development possibilities. The purpose of this study is to examine the features and consequences of this integrated system in order to shed light on how well it works to streamline the application process and enable candidates to actively seek out and interact with important career-related information. The study aims to contribute to the ongoing discussion on the relationship between technology and career advancement by utilizing the capabilities of an AI voice assistant that draws inspiration from systems such as Alexa. It does this by offering a user-centric and exploratory method of navigating the constantly changing world of online job application processes.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Aditya Singh Chouhan | Poornima Institute of Engineering and Technology |
| 2 | Akshay Kumar Hiran | Poornima Institute of Engineering and Technology |
| 3 | Akshat Sharma | Poornima Institute of Engineering and Technology |
| 4 | Aashima Tiwari | Poornima Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Chouhan, Aditya Singh, Hiran, Akshay Kumar, Sharma, Akshat, & Tiwari, Aashima (2024). A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 3617-3624.
MLA Style
Chouhan, Aditya Singh, et al. "A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 3617-3624.
IEEE Style
Aditya Singh Chouhan, Akshay Kumar Hiran, Akshat Sharma, and Aashima Tiwari, "A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 3617-3624, 2024.
Vancouver Style
Chouhan Aditya Singh, Hiran Akshay Kumar, Sharma Akshat, Tiwari Aashima. A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):3617-3624.
Harvard Style
Chouhan, Aditya Singh, Hiran, Akshay Kumar, Sharma, Akshat, & Tiwari, Aashima (2024) 'A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 3617-3624.
Chicago Style
Chouhan, Aditya Singh, et al. "A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3617-3624.
Turabian Style
Chouhan, Aditya Singh, et al. "A Research On Online Job Portal With AI Assistant : A Pathway to Efficient Recruitment." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 3617-3624.
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