Personalized AI-Enhanced Alumni Association Platform

Artificial Intelligence (AI) has transformed alumni networking by enabling personalized engagement, career support, and lifelong learning opportunities. This research introduces an AI-driven alumni association platform designed to strengthen alumni-institution relationships through intelligent automation and tailored interactions. The platform integrates AI-powered chatbots, predictive analytics, and content recommendation systems to enhance networking, mentorship, and career opportunities. Additionally, it addresses key challenges such as data privacy, algorithmic fairness, and ethical considerations in AI-driven engagement. This paper explores the role of personalized AI in redefining alumni interactions, evaluates the technical and ethical challenges involved, and outlines future research directions to develop scalable, responsible, and adaptive AI-powered alumni platforms.

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Publication Details

Published
2025-08-07
DOI
https://doi.org/10.1109/iccpct65132.2025.11176562
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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Personalized AI-Enhanced Alumni Association Platform

Pallavi Lanke, Balija Satya Sree, Jagadeesh Dandu, B. Raj et al.
Artificial Intelligence in Healthcare
article

Personalized AI-Enhanced Alumni Association Platform

Pallavi Lanke, Balija Satya Sree, Jagadeesh Dandu, B. Raj, Beere Adbhutha, Bellamkonda Chandra Siddhartha
article en

Abstract

Artificial Intelligence (AI) has transformed alumni networking by enabling personalized engagement, career support, and lifelong learning opportunities. This research introduces an AI-driven alumni association platform designed to strengthen alumni-institution relationships through intelligent automation and tailored interactions. The platform integrates AI-powered chatbots, predictive analytics, and content recommendation systems to enhance networking, mentorship, and career opportunities. Additionally, it addresses key challenges such as data privacy, algorithmic fairness, and ethical considerations in AI-driven engagement. This paper explores the role of personalized AI in redefining alumni interactions, evaluates the technical and ethical challenges involved, and outlines future research directions to develop scalable, responsible, and adaptive AI-powered alumni platforms.

Nagpur Institute of Technology (IN)
Openalex Percentile: Top 68%
Artificial Intelligence in Healthcare
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