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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59714
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Effective task management and sustained motivation are essential for improving productivity in academic, professional, and personal environments. However, most existing task scheduling applications focus primarily on basic to-do list creation and reminders, while ignoring intelligent prioritization and the psychological factors that influence user performance. The proposed machine integrates assignment scheduling, AI-primarily based totally precedence analysis, and mood-orientated motivational guide inside a unmarried platform. Developed using Android (Java/XML) and Firebase Realtime Database, the application enables users to create tasks, receive intelligent priority suggestions, and track progress through visual productivity analytics. A Pomodoro-primarily based totally paintings timer and personalised motivational messages are integrated to enhance cognizance and decrease intellectual fatigue Experimental observations indicate improved task completion rates, enhanced user engagement, and reduced procrastination. The results demonstrate that combining structured task planning with motivational feedback provides a more effective and user-centric productivity solution.
KEYWORDS
Publication Date
4/10/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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