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© 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.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56447

Intellichat: A Web-Based Domain-Specific Chatbot for Syllabus-Aligned Technical Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56447

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56447

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.

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Authors

A

Abinaya.S1

D

Darsana.S2

D

Deepika.S3

M

Madhusri.M4

A

Anitha.M5

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Abstract

Domain-specific academic support is essential for Computer Science and Engineering students, as technical subjects require accurate and syllabus-aligned explanations. Conventional learning resources such as textbooks and faculty consultations can be time-consuming and may not provide instant clarification. To overcome these limitations, this study presents Intellichat, a domain-specific chatbot designed to assist CSE students through real-time conversational learning. The system integrates a web-based interface with a Flask backend and utilizes a Large Language Model through Cohere API for generating intelligent responses. User queries are first processed using a

KEYWORDS

based domain filtering mechanism to ensure that only Computer Science-related questions are accepted

Cite This Article

Abinaya.S1, Darsana.S2, Deepika.S3, Madhusri.M4, Anitha.M5, "Intellichat: A Web-Based Domain-Specific Chatbot for Syllabus-Aligned Technical Learning," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM56447

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Publication Date

9/1/2026

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Double-Blind Peer Review

Review Rounds: 2

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

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