A technique is proposed for summarizing meetings to help distracted participants transition back into conversations during video conferences. Processing logic may receive, from a video conferencing platform, a video file including multiple frames and audio. The processing logic may determine a period of time where a participant is distracted based on the participant’s body movement, eye movement, and camera settings. This determination can be made using a machine learning model. The processing logic can also generate a summary of the meeting based on received voice input, chat comments, and participant expressions. This summary may be generated using a generative artificial intelligence model. The processing logic can send a summary of the meeting to a participant for the time period during which they were distracted. This results in helping distracted participants integrate back into the conversation more easily during a video conference.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.