PLANORA - Master Your Time, Maximize Your Learning

Effective study planning is a crucial skill for students to manage their academic workload, yet conventional approaches often rely on static task lists and fixed timers that do not adapt to individual learning styles. As a result, students face challenges in prioritizing tasks, sustaining focus during study sessions, and evaluating their productivity, which may lead to poor time management, irregular study habits, and increased academic stress. To address these issues, this work proposes Planora, an intelligent, web-based study planner that integrates adaptive learning techniques with algorithm-driven task management. The system is developed using the Flask framework and MongoDB database, providing students with a personalized dashboard to manage study routines more effectively. A greedy priority-based scheduling algorithm is employed to organize tasks according to deadlines, importance, and estimated duration, ensuring that critical activities are completed on time. A key innovation of Planora is its adaptive Pomodoro timer, which adjusts focus intervals based on a student’s recent performance—reducing session length to avoid fatigue or extending it to enhance productivity. The system further computes a weekly focus score using weighted averages derived from session completion and distraction patterns. Additional features include a Generative AI-powered study assistant for academic support and visual analytics to track subject-wise efforts and productivity trends. By combining intelligent algorithms with behavioral insights, Planora offers a dynamic, data-driven study planning experience tailored to each student’s learning needs