Smart Scheduler: A Web-based Time Management and Productivity Tool

Authors

  • Aiman Haziq Ali
  • Azizah Rahmat

DOI:

https://doi.org/10.70672/enaftq05

Keywords:

Task Management, Nat- ural Language Processing (NLP), Web-based Productivity Tools, Agile Development Methodology

Abstract

This research paper presents ”Smart Scheduler,” a web-based task management and productivity tool designed to enhance organizational and individual efficiency by integrating cutting-edge Artificial Intelligence (AI) technologies, including Natural Language Processing (NLP) from OpenAI. The tool aims to transform traditional task management by enabling dynamic team interactions and facilitating seamless workflows through intuitive user interfaces and automated processes. ”Smart Sched- uler” leverages AI to assist in writing enhancement, tone ad- justments, idea generation, and task summarization, setting it apart from conventional scheduling tools. The system was developed using the Agile methodology, ensuring adaptability and user-centered design. Evaluation results indicate significant improvements in task management efficiency, user satisfaction, and system usability. This study demonstrates the potential of AI-enhanced tools to revolutionize productivity landscapes in professional and personal settings, providing a blueprint for future advancements in digital task management.

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Published

03-12-2025

Issue

Section

Articles

How to Cite

Ali, A. H., & Rahmat, A. (2025). Smart Scheduler: A Web-based Time Management and Productivity Tool. Journal of Computing Technologies and Creative Content, 9(1). https://doi.org/10.70672/enaftq05