In many colleges and educational institutions, students face difficulties in managing attendance, tracking academic performance, and organizing their study schedules effectively. Many students are unaware of their attendance percentage, safe bunk limits, or declining performance trends until it becomes a serious issue. This often leads to attendance shortages, poor time management, stress during exams, and reduced academic outcomes. At the same time, teachers and faculty members often rely on manual methods to monitor attendance records and student progress, making it difficult to quickly identify students who are at academic risk or need timely guidance. There is a need for a smart, centralized, and user-friendly system that can help both students and teachers by providing attendance tracking, bunk risk prediction, performance analysis, timetable management, and actionable insights in one platform. TrackEd aims to solve this problem by using Artificial Intelligence and data-driven analytics to simplify academic management, improve decision-making, and enhance overall student productivity and performance.
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