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:IJSREM13940

Learning Techniques based Model for User Interest and Career Prediction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM13940

Volume:

6 |

5 |

May 2022

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

MS

Mansi Sonawane

RR

Rutuja Raut

RS

Rushikesh Sonawane

.SN

. Shreyash Naik

SBB

S. B. Bhonde

Author Services & Downloads

Full Articles

Abstract

Choosing a fitting career is one of the most significant choices and with the expansion in the quantity of profession ways and openings, settling on choice have gotten very hard for the understudies. Numerous understudies are befuddled about their vocation choices. This may prompt wrong vocation determination and afterward working in a field which was not implied for them, along these lines diminishing the efficiency of human asset. As the students are belonging through their academics, they need to realize their capabilities and check their areas of interest so that they can decide which career option is best suited for them in future. This system will help nowadays youth to decide which career path is best for their future that brings out the best results if they choose that prescribed career. Also this will help to improve the performance of the student and motivate them in their area of interest so that they will be focused on their targeted career. When one decides a career, this choice can shape one’s life entirely. Recently, more and more people have begun to reconsider their career options and change careers at a later time in their life. This can be prevented by proper counselling of young teenagers before they begin their graduate studies .This system is based on a test that a student has to perform and depend on the answers that are provided by the student, it will generate a summarized result.

KEYWORDS

Career guidance student counselling professional development education practices abilities machine learning

Cite This Article

Mansi Sonawane, Rutuja Raut, Rushikesh Sonawane, . Shreyash Naik, S. B. Bhonde, "Learning Techniques based Model for User Interest and Career Prediction," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

5/30/2022

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...