Centralized Alumni Management System and Career Prediction based on Academic Performance

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Authors: Mushraf Shaikh , Zoya Shaikh, Siddhi Pawar, Gayatri More, Pranjal Sonawane
DOI : 10.46335/IJIES.2025.10.4.7

Abstract– This paper presents the design and implementation of a centralized alumni management system integrated with an advanced career prediction model, utilizing students' academic performance and historical career data. Existing alumni management systems often lack effective data analysis and fail to connect alumni with students in meaningful ways, limiting career development and mentorship opportunities. The proposed system consolidates alumni data into a central database, enabling efficient tracking of career trajectories, achievements, and contact information, thus improving data accessibility and alumni engagement

At its core, the system features a career prediction model that analyzes academic data and alumni career outcomes to predict potential career paths for students. By providing tailored career recommendations based on students' academic strengths, the system not only aids career exploration but also fosters stronger alumni-student connections through networking and mentorship opportunities. The system’s effectiveness is validated with real-world data, demonstrating improvements in data accessibility, engagement, and career prediction accuracy. Ultimately, the system supports both academic and professional growth, providing a valuable tool for institutions to enhance career services and strengthen alumni-student relationships.