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:IJSREM59217

Intelligent Student Support System Using Multilingual Conversational AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM59217

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM59217

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

PTBB

Prof. Tanaya Bala Behera1

C

Chandrakanth2

C

Chetan3

CG

Chinnirathod Gandhikumar4

DB

Darshan B5

Author Services & Downloads

Full Articles

Abstract

In general, in most colleges, students and their parents face difficulty in getting proper information regarding admission, exams, fees, placement, etc. Though most of the colleges are providing the information in their website, it is quite time-consuming to search for the particular information. In order to overcome this difficulty, the present project proposes the development of an “Intelligent Student Support System Using a Multilingual Conversational Chatbot.” This system will help to provide instant responses to the queries of the students in an automated way. The chatbot is created using Python programming with the help of the Flask framework. Natural Language Processing techniques are used to understand the queries of the students. According to the intent of the query, the system will fetch the information from the structured knowledge base and will respond appropriately to the students. Although the chatbot is currently designed to accept only text-based queries, it is possible to add voice-based queries in the near future to increase the accessibility of the system. In addition, the queries are kept in the database to further improve the system in the future. The solution provided here reduces the workload of the administration staff, saves time for the end-users, and also helps in better communication between the students and the institution. Thus, the system provided here is a simple, efficient, and effective way to automate the college enquiry system.

KEYWORDS

Artificial Intelligence Natural Language Processing (NLP) Chatbot College Enquiry System Multilingual Support Conversational AI Flask Framework Machine Learning

Cite This Article

Prof. Tanaya Bala Behera1, Chandrakanth2, Chetan3, Chinnirathod Gandhikumar4, Darshan B5, "Intelligent Student Support System Using Multilingual Conversational AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/IJSREM59217

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

6/3/2026

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

0

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...