International Journal of Advanced Research in Computer and Communication Engineering

Abstract: In today's fast-paced world, individuals often rely on static daily planners to manage their tasks. These planners are designed based on fixed priorities, deadlines, and time slots, but they rarely account for the emotional and mental well-being of the individual using them. When emotions are not considered, users may find themselves overwhelmed, unmotivated, or mentally unprepared for the tasks scheduled for them, which ultimately reduces productivity and impacts mental health. EmotiPlan is an innovative AI-powered emotion-based day planner that detects the user's current emotional state through facial recognition and creates a dynamic, personalized schedule accordingly. It uses modern technologies like DeepFace and OpenCV to analyze facial expressions and interprets the user's mood in real-time. Based on the detected emotion— whether it's happiness, sadness, anger, or fatigue—the system adjusts task priorities and suggests an optimal timetable that balances productivity with well-being. Built on the MERN stack with a Python-based Flask API, EmotiPlan integrates backend scheduling logic with frontend user interaction, while also syncing events with Google Calendar. The first phase of the project establishes a working prototype capable of detecting mood, mapping it to activity types, and presenting a visual schedule to the user through an intuitive dashboard interface.

Keywords: Facial Emotion Recognition, MERN Stack, Deep Face, AI Planner, Human-Centered Productivity.

Downloads: | DOI: 10.17148/IJARCCE.2025.14926