Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61103
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
4/23/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
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.
Related research in the same subject area
Loading similar articles...