Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM31858

Enhance the study experience of Student using Study Bot Through Online Job Portal Management System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM31858

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

Share this article:

Authors

TA

Thakur Amitkumar

KU

Khan Umair

YV

Yadav Vikas

YM

Yadav Mulayam

PVT

Prof. Vijayalaxmi Tadkal

Author Services & Downloads

Full Articles

Abstract

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

Study Bots Personalized learning Random Questions self-assessment self-directed learning learning gain Ai technologies User Experiences.

Cite This Article

Thakur Amitkumar, Khan Umair, Yadav Vikas, Yadav Mulayam, Prof. Vijayalaxmi Tadkal, "Enhance the study experience of Student using Study Bot Through Online Job Portal Management System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/31/45407

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...