FocusMate: AI Powered Pomodora Timer with Focus Tracker

Shalini , Dr.Sai Madhavi.D , Bhupathi Abhinash Raju , Reshu Kumar , Murali Naik R

Digital Wellbeing, Pomodoro Technique, Focus Detection, Computer Vision, MediaPipe, Productivity Monitoring

The rapid adoption of digital learning platforms has increased screen time among students, often leading to distraction, reduced attention span, and digital fatigue. Traditional productivity tools, such as Pomodoro timers, track time passively without evaluating actual user engagement, limiting their effectiveness. This paper presents an AI-Powered Pomodoro Timer with Focus Tracker, a novel system designed to enhance productivity while promoting digital wellbeing. The proposed approach integrates the Pomodoro technique with real-time AI-driven focus detection using computer vision technologies, including OpenCV and MediaPipe. By monitoring facial presence, eye gaze, and head orientation through a webcam, the system assesses users’ focus levels during study sessions and provides instant feedback or notifications upon detecting distraction. All session data is securely stored and visualized, enabling personalized progress tracking and reflective analytics. Additionally, facial recognition-based login ensures individualized dashboards and secure data handling. Unlike conventional tools, this system combines structured time management, intelligent attention monitoring, and data-driven insights, empowering students to optimize their study sessions effectively. The proposed solution contributes to research on human-computer interaction and digital wellbeing by demonstrating a practical method to integrate AI-based focus tracking into productivity applications. It serves as both a smart productivity assistant and a digital wellbeing support system, facilitating sustained concentration and balanced technology use among learners.

Published Paper   E-Certificate

"FocusMate: AI Powered Pomodora Timer with Focus Tracker", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a7-a12, January-2026, Available :https://ijsdr.org/papers/IJSDR2601002.pdf

Volume 11 Issue 1, January-2026

Pages : a7-a12

Paper Reg. ID: IJSDR_306776

Published Paper Id: IJSDR2601002

Downloads: 000522

Research Area: Science and Technology

Country: Ballari, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2601002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2601002

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition