AI-Driven Smart Tuition Management

This research presents an AI-Driven Smart Tuition Management System designed to modernize and automate the complete administration process of tuition centers and private educational institutions. Traditional tuition management methods often rely on manual records, spreadsheets, and disconnected communication systems, resulting in inefficiency, errors, delayed reporting, and poor academic monitoring. The proposed system integrates Artificial Intelligence to improve operational efficiency and educational outcomes. Key features include automated student registration, attendance tracking, fee management, smart notifications, batch scheduling, academic performance dashboards, and secure multi-user access for administrators, teachers, students, and parents. Advanced AI modules are incorporated to provide intelligent decision support. These include student performance prediction using historical marks and attendance data, dropout risk detection, automated timetable generation based on teacher and classroom availability, personalized learning recommendations for weak subjects, and chatbot-based student support. The system is developed using a scalable web-based architecture and can be implemented in tuition centers of different sizes. Experimental evaluation shows reduced administrative workload, faster report generation, better fee collection efficiency, improved student retention, and enhanced learning performance. This project demonstrates how Artificial Intelligence can transform conventional tuition centers into data-driven smart educational institutions and provides a strong foundation for future integration of mobile applications, deep learning models, and real-time adaptive learning systems.