AI-Driven Application for Data Structuring and Intelligent Meeting Analysis

The rapid growth of remote work and online learning has created a strong need for intelligent tools to record, analyze,

and summarize meetings effectively.This paper presents an application DataMate, an AI-powered Virtual Meeting

Summarization System designed to automatictranscription and generation of concise meeting summaries in remote and hybrid

environments The system integrates Automatic Speech Recognition (ASR), and Generative AI with Large Language Models

(LLMs) to extract key discussion points and attribute speaker contributions accurately. Leveraging Natural Language

Processing (NLP) and Machine Learning (ML), DataMate delivers precise and efficient summaries . The application described

not only helps with audio summarization but will enable the use of data analytics in the creation of content and answering

questions from discussion meetings. The Application enables greater collaboration, productivity, and decision-making within an

organization or learning environment by overcoming various challenges including accuracy and privacy concerns.