Research Article |
Open Access
|
| Published 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 and 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
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
Novelty statement
A The ability to instantly attend online meetings and a notification function that warns users when their name is mentioned.