EDU-SMART INTELLIGENT STUDENT COMPANION SYSTEM

Abstract

In modern educational ecosystems, student data related to attendance, academic marks, and library services are often managed through fragmented manual records or isolated digital platforms. This structural division leads to operational inefficiencies and a significant lack of real-time awareness for both students and faculty. This paper introduces EduSmart, a centralized intelligent companion system designed to unify academic management through a cohesive digital architecture. By integrating a three-tier software framework with machine learning capabilities, the system facilitates seamless data synchronization and predictive performance analytics. The core novelty of the proposed solution lies in its transition from a passive data repository to an active analytical assistant that forecasts student outcomes and provides automated notifications. Empirical evaluation through user acceptance testing indicates that EduSmart significantly enhances data accuracy, reduces administrative overhead, and fosters proactive student engagement.