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