Revolutionizing Alumni Platforms Using Scalable AI and Advanced Hybrid Recommendation Algorithms for Personalized Engagement

This research work proposes an all-inclusive Alumni Association platform to address the challenges such as data security, scalability, and low user engagement in alumni interaction, mentorship, and philanthropy. The majority of existing platforms lack strong mechanisms to ensure safe data handling, seamless scalability, and active user participation, thereby leading to low impact. The proposed system will integrate web and mobile applications with advanced AI algorithms and secure technologies. These include a secure donation portal, a professional networking hub, job search service, and a repository of alumni success stories-all through a smart interface. The platform prioritizes user experience and real-time feedback to enhance institutional initiatives. As a result, the proposed system promotes lifelong connections, career growth, knowledge exchange, and a culture of giving, serving as a replicable model for dynamic alumni communities across institutions.