The meetings play an important role in colleges, offices. The meeting recording contains various useful information such as decisions, deadlines, owners responsible for the deadlines. The Transcript or summary of the meeting does not include all essential tasks and deadlines. The proposed system is a web-based meeting intelligence system that converts recordings into timestamped transcripts, summaries and structured records of tasks, deadlines and decision. The system maintains the persistent memory across meeting recordings and display relationship between the multiple meetings. The proposed paper display methodology and proposed system architecture including data model, candidate technology stacks, cross meeting matching.

Dhanajay Raut, Aman Pandey, Juhi Tawade, Saniya Shaikh, Soniya Pawar, "An AI-Powered Meeting Intelligence System with Persistent Memory Cross-Meeting" International Journal of Computer Science and Engineering Development, V1(4): Page(127-130) September - October 2026. ISSN: 3139-0862. www.ijcsed.com. Published by Scientific and Academic Research Publishing.