• Shaikh Rahil
• Ansari Fatima Anees
• Ansari Furqan
• Shaikh Adnan
• Sheikh Lubna

Effective communication within project teams is crucial for project success. Team meetings play a significant role in fostering collaboration and sharing information among team members. However, as projects grow in complexity and teams become increasingly diverse and distributed, the need for efficient meeting summarization becomes evident. This project aims to develop a comprehensive system for summarizing virtual meetings using natural language processing and machine learning techniques. Our project aims to extract concise summaries from lengthy online virtual meetings, while also providing a comprehensive display of each participant's spoken contributions during the session. By facilitating the review and reference of crucial information, this project seeks to enhance team productivity, decision-making, and knowledge retention, contributing to improved project outcomes. This abstract outlines the importance of the Project Virtual Meet Summarizer initiative and highlights its potential benefits in fostering effective collaboration and communication within project teams.

Natural language processing, Diarization, Audio Transcription.

"Virtual Meet Summarizer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.i625-i630, March-2024, Available :http://www.jetir.org/papers/JETIR2403880.pdf

"Virtual Meet Summarizer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppi625-i630, March-2024, Available at : http://www.jetir.org/papers/JETIR2403880.pdf