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:IJSREM42290

AI-Powered Chatbot for Enhanced College Interaction a Deep Learning Approach

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42290

Volume:

9 |

3 |

Mar 2025

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

NSR

Nikila S R

pK.

prof. K .Rajeswari

Author Services & Downloads

Full Articles

Abstract

A chatbot is an intelligent conversational agent that utilizes artificial intelligence (AI) and natural language processing (NLP) techniques to engage with users in a human-like manner. This project focuses on developing a chatbot service for college interactions that harnesses deep learning techniques to offer users personalized assistance, recommendations, and real-time updates. This development of a chatbot serves for Adhiyamaan college of Engineering Hosur . aimed at addressing enquiries related to the college. The chatbot provides users with the convenience of querying various aspects of the college, such as course offerings, time schedules, academic details, and address information. It employs a Feedforward Neural Network (FNN) as its underlying deep learning algorithm, trained on a dataset structured with tags, patterns, and reasons .The chatbot is designed to seamlessly handle text queries from users. Users can interact with the chatbot using natural language, receiving responses in both text and voice formats, enhancing accessibility and user experience. This integration of text and voice responses enables users to engage with the chatbot in a manner most comfortable for them .Through its intuitive interface and robust backend architecture, the chatbot serves as a valuable resource for students, faculty, and other stakeholders associated with Adhiyamaan college of Engineering Hosur , facilitating quick access to relevant information and enhancing communication within the college community.The chatbot employs deep learning algorithms, specifically a Multi-Layer Perceptron (MLP), which is a type of Feedforward Neural Network (FNN) with at least one hidden layer between the input and output layers.

KEYWORDS

Chatbot Artificial Intelligence (AI) Natural Language Processing (NLP) Deep Learning Feedforward Neural Network (FNN)

Cite This Article

Nikila S R, prof. K .Rajeswari, "AI-Powered Chatbot for Enhanced College Interaction a Deep Learning Approach," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

11/2/2025

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...