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Author(s):

K. Hemini | S. Rubashree | V. Sankari | P. Boobalan | J. Vasugi
Keywords:

Alumni Management, Facial Recognition, Grassmann Algorithm, Natural Language Processing, NLP, Web Application
Abstract:
The Alumni Connect Platform Is A Modern, Web-enabled System Built To Strengthen Bonds Between Former And Current Students, Raising The Likelihood Of Meaningful Employment Connections While Encouraging Alumni Participation Within Their Academic Communities. Conventional Alumni Systems Rely Heavily On Manual Processes, Lack Robust Security, And Offer No Intelligent Talent-matching Capabilities. The Alumni Connect Application Addresses These Gaps Through A User-friendly Interface Featuring Biometric Login Using The Grassmann-based Facial Recognition Algorithm, A Centralized Admin Module For Managing Records And Events, And An NLP-driven Job Recommendation Engine That Aligns Student Skills With Available Opportunities. Alumni Can Maintain Professional Profiles, Post Job Vacancies, And Participate In Mentorship Programs, While Students Can Explore Alumni Networks, Upload Their Resumes, And Receive Personalized Career Guidance. The Platform Builds A Structured, Secure, And Intelligent Bridge Between Alumni And Students, Significantly Improving Networking, Career Placement, And Institutional Engagement.