MeetAI-Clone:Smart Video Conferencing With AI Notes

MeetAI-Clone:Smart Video Conferencing With AI Notes

P.Chandra sekhar Assistant Professor

Department of Computer Science and

Engineering Geethanjali College Of Engineering

And Technology Hyderabad, India

pchandrasekharreddy.cse@gcet.edu.in

Govindu Sai Varun Department of Computer Science and

Engineering Geethanjali College Of Engineering

And Technology Hyderabad, India 22r11a05l2@gcet.edu.in

Kondeti Vaishnav Department of Computer Science and

Engineering Geethanjali College Of Engineering

And Technology Hyderabad, India 22r11a05l7@gcet.edu.in

Mananthula Manaswini Department of Computer Science and

Engineering Geethanjali College Of Engineering

And Technology Hyderabad, India 22r11a05m3@gcet.edu.in

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