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:IJSREM61103

MeetAI-Clone:Smart Video Conferencing With AI Notes

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61103

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem61103

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

Author Services & Downloads

Full Articles

Abstract

The recent transition towards working together in the virtual world has made it necessary to communicate, learn and work using video conferencing applications. Unfortunately, there is a lack of intelligent assistance in current systems to help capture, process and summarize the content of the discussion during video conferences, which makes such conferences less productive [1]. Although some platforms include some capabilities like basic video conference recording and transcription, they are still unable to understand the context or help the user with real-time assistance during discussion [2]. The paper introduces MeetAI, an artificial intelligence based framework for smart video conferencing aimed at increasing meeting productivity by assisting with real-time transcription and summarization of the discussion and taking notes about it. It uses a modular architecture where video communication, speech recognition, natural language processing and knowledge extraction are separated from each other. A real-time processing pipeline is used for collecting video conference data. AI-enabled capabilities such as speaker recognition, topic analysis, and contextual summarization help in creating brief and meaningful meeting minutes. Also, the proposed framework includes features for decision and action item extraction, helping the users in understanding the main takeaways from the discussions. In addition, MeetAI has the capability of performing multilingual transcription and works with cloud storage systems. In order to ensure high usability levels of the system, an intuitive UI is provided which features live captions and summaries after meetings have been concluded. This allows easy sharing of information. Optionally, the users can integrate other external systems such as calendars and task management applications. Evaluation of the proposed framework will be done using a prototype testing approach, with emphasis being placed on the areas of accuracy, usability, and system performance. The findings indicate that MeetAI greatly improves meeting efficiency and minimizes the manual work required for documentation purposes.

KEYWORDS

smart video conferencing AI-based transcription meeting summarization real-time collaboration productivity improvement

Cite This Article

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

4/23/2026

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...