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A Model on Gen AI and NLP Based Multi Purpose Meeting Summariser

J.Peter Praveen1, B.Sai Sasank2, Mohammad Sana Farheen3 ,V. Sri ram kamal 4, N.Uday Bhaskar5,S.Uday bhaskar6

1Associate Professor,Department of Artificial Intelligence and Data Science
Vignan Institute of Information Technology,Duvvada,Vishakapatnam
2,3,4,5,6Department of Artificial Intelligence and Data Science
Vignan Institute of Information Technology,Duvvada,Vishakapatnam
*Corresponding Author: 22L31A5412@vignaniit.edu.in , 21L31A5471@vignaniit.edu.in,
21L31A54B7@vignaniit.edu.in, 21L31A5476@vignaniit.edu.in, 21L35A54A9@vignaniit.edu.in

Abstract-- Meeting organisers and organizers need to be able to organize meetings, capture important information, and generate concise summaries of the data. We present a Gen AI and NLP-based meeting summarizer that analyzes, extracts and generates succinct summaries of meeting content. The tool transcribes the audio from the meeting in question live or recorded into text, with summary produced which consists of action points, decision making, insights, and context. It can translate summary to different languages, recognizes context and the
individuals' intent and proposes tailored summaries for different audiences. We can connect this product to Skype and Microsoft Teams in which we offer an AI-powered analytics and assure data privacy and security. This eliminates manual note taking and improves efficiency and alignment with the agreed objectives.