Journal of Smart Sensors and Computing Cover
ISSN: 3108-2459

Journal of Smart Sensors and Computing

Dr. Thittaporn Ganokratanaa
Editor-in-Chief
Dr. Thittaporn Ganokratanaa

A multidisciplinary, peer-reviewed, quarterly, open-access journal dedicated to advancing research and innovation in sensor technologies and computational methods.

Research Article* Open AccessCCBYNCPublished online: 25 May 2025

Attendie AI: A Smart and Proactive Solution for Overlapping Meetings Using Natural Language Processing and Machine Learning

Jaimeet Sarode, Arya Teli, Nilesh Apsingkar, Miheer Abhyankar

Department of Computer Science and Engineering, MIT ADT University, Pune, Maharashtra, 412201, India

*Email: jaimeetsarode@gmail.com

J. Smart Sens. Comput., 2025, 1(1), 25203 https://doi.org/10.64189/ssc.25203

Received: 18 February 2025 | Revised: 25 March 2025 | Accepted: 15 May 2025

Cite article

J. Sarode, A. Teli, N. Apsingkar, M. Abhyankar, Attendie AI: a smart and proactive solution for overlapping meetings using natural language processing and machine learning, Journal of Smart Sensors and Computing, 2025, 1(1), 25203, doi: . https://doi.org/10.64189/ssc.25203

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(c) The Author(s) 2025.

CC BY-NC 4.0

Open Access

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits the non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as appropriate credit is given and changes are indicated. https://creativecommons.org/licenses/by-nc/4.0/

Abstract

When put on a conference table, the smart device Attendie records sessions and produces a text file that can be downloaded along with bulleted summaries. It can participate in meetings that are held online using Zoom, Google Meet, or Microsoft Teams and notify the user when their name is called during the meeting. In addition, Attendie may automatically join meetings and connect with the user's Google calendar. Attendie recognizes and transcribes audio signals using computational linguistics to translate spoken words into text. In this procedure, sophisticated machine learning models select and convert audio inputs into text that can be updated and saved on a specific device using linguistic algorithms. The words are also converted into Unicode characters during transcription to make them easier to display and compatible with a variety of hardware and software. The ability to instantly attend online meetings and a notification function that warns users when their name is mentioned are just two of Attendie's many advantages over its rivals.

Graphical Abstract

Attendie AI: A Smart and Proactive Solution for Overlapping Meetings Using Natural Language Processing and Machine Learning graphical abstract

Novelty Statement

The ability to instantly attend online meetings and a notification function that warns users when their name is mentioned.