Students often manage several subjects, assignments, examinations, and personal commitments at the same time. A fixedtimetable may not reflect differences in task urgency, difficulty, learning goals, available time, or progress. This paper proposes apriority-based personalized study scheduling system that organizes academic tasks, ranks them using transparent criteria, and creates apractical study plan based on individual availability. The proposed system considers deadline proximity, task importance, estimated effort,topic difficulty, and learner progress. A scheduling module allocates time blocks, while a progress tracker updates the plan when tasks arecompleted or priorities change. The interface presents upcoming tasks, daily plans, reminders, and subject-wise progress. The designemphasizes explainable prioritization, user control, realistic workload limits, and privacy of student information. A rule-based scoringmethod is proposed as a baseline, with future scope for adaptive recommendations using historical completion patterns. An evaluation plan isdescribed using schedule feasibility, task completion, ranking usefulness, and user feedback. This paper presents a design proposal and doesnot claim experimental improvements without a completed study.
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Namrata Patil (2026) studied this question.
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