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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM31858
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
This project report presents the development and implementation of a Job Portal Management System integrated with an innovative Study Bot feature aimed at enriching the study experience of users. The traditional job portals primarily focus on job postings and candidate applications, lacking functionalities tailored towards improving users’ skills and knowledge. The integration of Study Bot addresses this gap by providing personalized study recommendations, learning resources, and interactive study sessions based on users’ preferences and career goals. The Job Portal Management System offers a comprehensive platform for job seekers, recruiters, and administrators, facilitating seamless job postings, candidate searches, and recruitment processes. Additionally, Study BOT enhances In today’s dynamic job market, efficient recruitment processes are crucial for both employers and job seekers. Traditional job portals often struggle to provide personalized and relevant job recommendations, leading to dissatisfaction among users. The integration of Artificial Intelligence (A.I.) technologies into job portal management systems presents a promising solution to address these challenges. This paper proposes a novel Job Portal Management System empowered by A.I., aimed at enhancing the overall user experience by providing intelligent job matching, personalized recommendations, and streamlined recruitment processes.
KEYWORDS
Publication Date
12/31/45407
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
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