NEXT-GENERATION ALUMNI MANAGEMENT SYSTEM USING ARTIFICIAL INTELLIGENCE

Abstract

Maintaining strong connections with alumni is essential for mentorship, career guidance, and professional networking. However, traditional alumni management methods often result in scattered data, outdated information, and limited interaction between alumni and students. This paper proposes a Next-Generation Alumni Management System that provides a centralized digital platform for managing alumni information and improving communication within the academic community. The system integrates features such as secure user authentication, centralized alumni profiles, AI-based mentor–mentee matching, and job opportunity sharing. LinkedIn synchronization helps maintain updated professional information of alumni automatically. The platform is developed using modern web technologies to ensure scalability and efficient data management. By enabling structured interaction between alumni and students, the system enhances mentorship opportunities and career support. The proposed system ultimately improves alumni engagement and strengthens institutional networking.