AI-Powered Facial Expression Recognition for Real-Time Productivity Improvement

N. Ramadevi, A. Akhila, C. S. Sushmitha, S. Pravallika, K. Lahari, D. Bhavyasree

2025

Abstract

Imagine having a little helper at work, an AI-powered bot that's like a super observant friend. This bot can actually see how you're feeling by looking at your face through the computer camera. It uses special tech to understand if you're stressed, tired, really focused, happy, or maybe just not feeling it. When the bot picks up on an emotion, it's ready to jump in with support. It has a whole collection of encouraging words and helpful tips, kind of like a digital pep talk. So, if it sees you're stressed or tired, it might pop up with a calming message or a suggestion to take a quick break. This way, you become more aware of your emotions and get the support you need right when you need it. This system is designed to fit right into your workday without being disruptive. It can help you and your managers see how everyone's doing emotionally over time, so you can address any issues before they affect how well you work. By giving personalized encouragement, the bot helps create a more positive and supportive atmosphere at work, which can lead to less stress, better focus, and ultimately, higher productivity.

Paper Citation

in Harvard Style

Ramadevi N., Akhila A., Sushmitha C., Pravallika S., Lahari K. and Bhavyasree D. (2025). AI-Powered Facial Expression Recognition for Real-Time Productivity Improvement. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 229-233. DOI: 10.5220/0013911000004919

in Bibtex Style

@conference{icrdicct`2525,
author={N. Ramadevi and A. Akhila and C. Sushmitha and S. Pravallika and K. Lahari and D. Bhavyasree},
title={AI-Powered Facial Expression Recognition for Real-Time Productivity Improvement},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={229-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013911000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI-Powered Facial Expression Recognition for Real-Time Productivity Improvement
SN - 978-989-758-777-1
AU - Ramadevi N.
AU - Akhila A.
AU - Sushmitha C.
AU - Pravallika S.
AU - Lahari K.
AU - Bhavyasree D.
PY - 2025
SP - 229
EP - 233
DO - 10.5220/0013911000004919
PB - SciTePress