AI STUDY PLANNER AND REVISION SCHEDULER

Abstract

The AI Study Planner and Revision Scheduler is an Artificial Intelligence-based educational system designed to help students organize their studies, manage academic tasks, and revise learning materials effectively. Students often struggle to create a balanced study schedule because they have multiple subjects, assignments, examinations, and different levels of understanding. The proposed system uses AI to create a personalized study plan according to the student's academic goals, available time, priorities, and learning progress. The system allows students to enter information such as subjects, topics, examination dates, assignment deadlines, available study hours, and preferred study times. It analyzes this information and creates a structured timetable that distributes study activities across available days. The system considers topic difficulty and priority so that important or difficult subjects can receive more study time. A major feature of the system is AI-based revision scheduling. Instead of simply assigning topics once, the system schedules revision sessions at suitable intervals. It can use concepts from spaced repetition and performance-based scheduling to recommend when a topic should be reviewed again. Students can complete quizzes or self-assessments, and the system can adjust future revision sessions according to their performance. The system continuously monitors study progress and can modify the plan when the student misses a session, completes a topic early, or performs poorly in an assessment. It can recommend additional practice for weak areas and reduce unnecessary revision for topics that the student has already mastered. Notifications and reminders can help students stay consistent with their planned study activities. Overall, the AI Study Planner and Revision Scheduler provides a personalized and adaptive approach to academic planning. It can help students manage their time, reduce last-minute exam preparation, improve revision consistency, and focus on important learning areas. Future enhancements can include AI-generated study materials, intelligent quiz generation, voice-based planning, integration with calendars and Learning Management Systems, and advanced learning analytics.