AllySphere: An AI-Driven Alumni Associate Platform (Web)

Authors:

Afshan Jabeen Khan¹, Tasmiya Siddiquei², Suniya Firdous Khan³, Madiha Sheikh⁴, Rashida Qaiyumi⁵, Amisha Paliye⁶

Artificial Intelligence & Data Science
Anjuman College of Engineering & Technology, Nagpur

Abstract - In today’s digital era, maintaining strong connections between alumni and their alma mater is essential for institutional growth, collaboration, and knowledge sharing. However, many engineering colleges still depend on fragmented or informal approaches to alumni engagement, limiting opportunities for networking, mentoring, fundraising, and career development. To address this gap, this project proposes the development of an Alumni Association Platform, a unified digital system designed to connect alumni, students, and faculty members across engineering institutions.

The platform will act as a centralized hub for alumni data management, communication, and interaction. It will enable users to register, create detailed profiles, and receive updates about institutional events, job openings, research initiatives, and academic activities. Students will gain access to alumni mentors, career guidance, internships, and industry connections, supporting their professional growth. Faculty members and administrators will benefit from efficient alumni record management, reunion organization, collaborative research opportunities, and structured alumni contributions.

Key features include secure authentication, a centralized alumni database, real-time notifications, discussion forums, mentorship modules, donation management, gamification elements, and AI-powered recommendations for mentor matching and career opportunities. Integrated data analytics will provide valuable insights into alumni engagement, career trends, and institutional development. It strengthens alumni engagement and supports lifelong collaboration.

Key Words:  alumni engagement, networking platform, mentorship system, data management, career development