MODORO - Pomodoro App with AI/ML for Enhanced Productivity

Authors

  • Fauzan Ghazi Faculty of Artificial Intelligence, UTM
  • Wan Noor Hamiza Faculty of Artificial Intelligence, UTM
  • Mariam Mazlan Azman Hashim International Business School, UTM
  • Afifah Rosli Kolej Profesional MARA Bandar Penawar

DOI:

https://doi.org/10.11113/oiji2025.13n1.329

Keywords:

productivity, application, AI/ML, gamification, personalization, Pomodoro method

Abstract

This project introduces an AI/ML-powered Pomodoro app that enhances personal and team productivity through intelligent, adaptive features. Integrating the Pomodoro Technique with machine learning and emotion-aware tools, the app personalizes work-break schedules based on user behavior, mood, and task urgency. Gamification and collaboration tools promote sustained engagement and accountability, while predictive analytics optimize task management. The design emphasizes accessibility and inclusivity to support diverse users. By addressing modern challenges such as procrastination, digital distractions, and burnout, the app fosters healthier work habits and improved focus, offering a transformative solution aligned with societal needs and technological advancements in productivity management.

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Published

2025-06-27

How to Cite

Ghazi, F., Wan Ali, W. N. H., Mazlan, M., & Rosli, A. (2025). MODORO - Pomodoro App with AI/ML for Enhanced Productivity. Open International Journal of Informatics, 13(1), 106–118. https://doi.org/10.11113/oiji2025.13n1.329