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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM31384

Job Assistant: Job Preparation and Community Engagement Application with AI Assistant

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM31384

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM31384

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PSB

Prof. Sagar Bhopale

OK

Omkar Khandebharad

SR

Swarupa Ravas

GK

Gaurav Kachare

SP

Saurabh Panchal

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Abstract

This paper outlines the offerings of our application tailored for job seekers, emphasizing the extensive range of job listings provided alongside an interactive community platform and AI Assistant for personalized guidance and support, streamlining the job preparation journey. The research project delves into the pivotal role of job search websites and underscores the importance of efficient user logins on these platforms. Given the growing significance of job placements in sustaining livelihoods, both job seekers and recruiters increasingly rely on job portals to find the ideal match for their requirements. Moreover, job portals facilitate engagement within communities, fostering connections between individuals and companies. This study aims to shed light on the multifaceted benefits of integrating AI-driven features, interactive platforms, and comprehensive job listings within a single application, ultimately enhancing the job search experience and facilitating meaningful engagement within professional communities.

KEYWORDS

Employment AI Job Assistant Interview preparation Job hunting AI-powered job support Career development.

Cite This Article

Prof. Sagar Bhopale, Omkar Khandebharad, Swarupa Ravas, Gaurav Kachare, Saurabh Panchal, "Job Assistant: Job Preparation and Community Engagement Application with AI Assistant," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM31384

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Publication Date

12/31/45407

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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