A Student - Alumni Networking and Career Development Platform
- DOI
- 10.2991/978-94-6239-713-2_54How to use a DOI?
- Keywords
- Student Alumni Website; Alumni Management System; Networking; Mentorship; AI Chat-bot; Career Guidance
- Abstract
The Student-Alumni Networking and Career Development Platform will serve as a link between students and alumni to foster mutual development. It will not only store students’ and alumni’s details, but it also provides a communication environment between them so that they can share their knowledge. For this, a profile will have their career history, skills and academic log. It suggests alumni to connect with based on the skills, domain, and location. An AI chatbot is used to guide people. One of the important features is that it consists of a verification module to keep the account safe and find out the fake accounts. This website is used to help graduate students get a job. The students who do not get any proper guidance from alumni may face difficulties in finding employment. So, these alumni websites provide connection and also provide good guidance and motivation to the students. This system supports students by exploring career options and improving their career plans.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Neelam Mary Vijaya Nirmala AU - Vemuri Hema Harshitha AU - Velpuri Venkata Mani Sri Pavani AU - Thammisetty Siva Naga Lakshmi AU - Rachabattula Lahari PY - 2026 DA - 2026/06/25 TI - A Student - Alumni Networking and Career Development Platform BT - Proceedings of the International Conference on Advances in Computing Technology and Artificial Intelligence (COMPUTATIA 2026) PB - Atlantis Press SP - 731 EP - 740 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6239-713-2_54 DO - 10.2991/978-94-6239-713-2_54 ID - Nirmala2026 ER -