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@article{204569,
        author = {Janhavi Umakant Shirshetti and Shruti Shashikant Mahadik and Shreya Hanumant Shinde and Vansh Pradeep Patel and Prof. Priyanka Kashinath Kendre},
        title = {Interactive AI Portal for Alumni-Student Networking},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {3226-3229},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204569},
        abstract = {Higher education institutions increasingly recognize the importance of maintaining strong relationships with their alumni. Alumni serve as valuable resources for career mentorship, knowledge transfer, and institutional development. A survey conducted with 108 senior undergraduate students examined their expectations regarding alumni engagement and institutional support. Results indicated that students strongly value access to alumni expertise for professional guidance and industry insights. This paper proposes an Interactive AI Portal for Alumni-Student Networking that integrates artificial intelligence technologies with institutional networks. The proposed system utilizes recommendation algorithms, natural language processing, and intelligent matchmaking techniques to connect students with relevant alumni mentors. By strengthening industry–academia collaboration, the platform aims to enhance curriculum relevance, improve employability outcomes, and foster lifelong professional learning.},
        keywords = {Alumni Networking, Artificial Intelligence, Higher Education, Recommendation Systems, Professional Development},
        month = {June},
        }