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@article{200859,
        author = {Mohammed Babukhanwala and Kavita Namdev and Mitali Patidar and Mitesh Parmar and Nivedita Sharma and Neelam Sharma},
        title = {Development of an Intelligent Alumni Information System for Data Optimization and Institutional Connectivity},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2429-2442},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200859},
        abstract = {As alumni relations become increasingly important in higher education, many colleges are developing digital platforms to increase their alumni engagement; however, most traditional methods used for managing alumni are inefficient (i.e., fragmented communication, limited networking opportunity, and poor records management). Thus, the purpose of this study is to develop a centralized web-based Alumni Management and Engagement System – Alum Connect (Alum) to provide opportunities for better structured interaction between alumni, students and institutional administrators. Alum will assist in communicating and storing large amounts of data related to alumni and providing access to mentorship, event participation, and career networking through one integrated digital space. The pilot test of the platform showed that the system successfully managed all information related to alumni, provided new opportunities for networking, and assisted with career development activities. Results indicate that the platform is easy to use, helped to keep alumni engaged and improved alumni/institutional relationship.},
        keywords = {Alumni Engagement, Alumni Management Sys- tem, Web-Based Platform, Career Networking, Mentorship, Digital Communication, Higher Education.},
        month = {May},
        }