DATAMATE: All-in-One Data Analysis & Meeting Intelligence Platform

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Authors: Dr Vijaya Balpande, Shivani Duble, Pranali Barapatre, Pranali Khapne, Trupti Lakhe, Shital Ghivtonde
Cited by: 0

Abstract

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 DataMate, an AI-powered Virtual Meeting Summarization System designed to automatic transcription 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 validated using Word Error Rate (WER) and ROUGE metrics. The proposed system extends beyond audio summarization to support data analysis, content creation, and question answering based on meeting discussions. It enhances collaboration, productivity, and decision-making across educational and organizational settings while addressing accuracy, privacy, and adaptability challenges to build more reliable and inclusive meeting intelligence systems.

Fields of Study & Subjects

Expert finding and Q&A systems AI in Service Interactions Topic Modeling

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026