ISSN2320-2882
Impact Factor9.17
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Paper Title

A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis

Authors

Grishma S , Darshan N , Amrutha L , Dr. G. Fathima

Keywords

Real-Time Transcription, Lightweight AI, Meeting Analysis, Speech Recognition, Resource Optimization, Action Item Extraction.

Abstract

Meetings play a critical role in collaborative environments, yet capturing accurate records of discussions, decisions, and follow-up tasks remains a challenging and time-consuming process. Many existing automated meeting analysis systems depend on high-performance hardware or continuous cloud processing, limiting their usability in resourceconstrained settings. This paper presents a lightweight AI-driven framework for real-time meeting transcription and post-meeting analysis that operates efficiently without requiring high-end processors. The system continuously captures audio, generates live captions using an optimized speech recognition model, and incrementally stores meeting transcripts. Upon meeting completion, the framework automatically produces concise summaries and extracts structured action items and decisions through chunk-based natural language processing. By offloading computationally intensive language understanding tasks to external AI services while maintaining minimal local processing overhead, the proposed solution ensures scalability, efficiency, and practical deployment on low-resource devices. Experimental evaluation demonstrates reduced computational complexity while maintaining high transcription accuracy and structured insight extraction. The framework enables intelligent meeting assistance with minimal hardware dependency, making it suitable for academic and small-scale enterprise environments.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.c218-c227, April 2026, Available :https://ijcrt.org/papers/IJCRT2604266.pdf
APA — 7th edition
S, G., N, D., L, A., & Fathima, G. (2026). A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis. International Journal of Creative Research Thoughts, 14(4), c218-c227. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266
MLA — 9th edition
S, Grishma, et al. "A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. c218-c227, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266.
Chicago — 17th, bibliography
S, Grishma, et al. "A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis." International Journal of Creative Research Thoughts 14, no. 4 (2026): c218-c227. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266.
Harvard — author–date
S, G. et al. (2026) 'A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis', International Journal of Creative Research Thoughts, 14(4), pp. c218-c227. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266
IEEE — numbered reference
G. S, D. N, A. L and G. Fathima, "A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis," IJCRT, vol. 14, no. 4, pp. c218-c227, Apr. 2026.
Vancouver — biomedical
S G, N D, L A, Fathima G. A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis. IJCRT. 2026 Apr;14(4):c218-c227.
AMA — 11th edition
S G, N D, L A, Fathima G. A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis. IJCRT. 2026;14(4):c218-c227. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2604266, author = {Grishma S and Darshan N and Amrutha L and G. Fathima}, title = {A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {c218-c227}, year = {2026}, month = {April}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266} }
RIS — EndNote, RefWorks
TY - JOUR AU - S, Grishma AU - N, Darshan AU - L, Amrutha AU - Fathima, G. TI - A Resource-Efficient AI Framework for Real-Time Meeting Transcription and Analysis T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2604266 SP - c218-c227 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : c218-c227

Article Information

Pages
c218-c227
Published
April 2026
Registration ID
IJCRT_304846
Published Paper ID
IJCRT2604266
Research Area
Science and Technology
Author Type
Indian Author
Location
Hosur, Tamil Nadu, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
178

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About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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