Smart Task Reminder and Mood-Based Productivity Analysis System

Productivity applications have become essential tools for helping users manage tasks efficiently, yet most traditional task managers lack personalization, emotional awareness, and behavioral analytics. These limitations create a gap in systems that support human-centered productivity. The “Smart Task Reminder and Mood-Based Productivity Analysis System” is designed to address this gap by integrating mood-based task recommendations and real-time productivity visualization. This research explores how mood influences task execution and how emotional-awareness can be used to enhance time management. Using HTML, CSS, JavaScript, and Chart.js, the proposed system provides an intelligent task interface with dynamic suggestions based on user mood, along with a daily productivity analysis graph. The study concludes that mooddriven task prioritization significantly improves user engagement, reduces cognitive load, and increases task completion rates.