Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

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SEEK HER: An AI-Powered Mentor Matchmaking Platform for Women

Authors
S. Shreya1, *, S. Shri Ranjani1, P. Nandhini1
1Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: shreya.sudarsan.25@gmail.com
Corresponding Author
S. Shreya
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_99How to use a DOI?
Keywords
Women’s Empowerment; Graph Neural Networks (GNN); Natural Language Processing (NLP); Recommendation System; MERN Stack; Adaptive Learning; Mentor-Mentee Matching; Artificial Intelligence (AI)
Abstract

Women career progression is highly dependent on mentorship, and according to the conventional models of mentorship, the latter is mainly manual, biased, and unreachable. In a bid to shorten these challenges, SEEK HER is a Web-based application designed based on the MERN stack that is meant to offer intelligent, scalable and unbiased mentor-mentee matchmaking among women only. The system will utilise a hybrid AI approach of both Natural Language Processing (NLP) to perform finer profile analysis and Graph Neural Networks (GNN) to properly map and match relationships. SEEK HER provides real-time personalized mentor matches via an adaptive feedback loop which provides more refined matches as the user engages and enters more details. Using the advanced AI methods in the framework of a safe and user-friendly structure, SEEK HER will help reduce the gender gap in leadership by offering women convenient and meaningful mentorship options based on their professional growth needs.

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.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_99How to use a DOI?
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

risenwbib
TY  - CONF
AU  - S. Shreya
AU  - S. Shri Ranjani
AU  - P. Nandhini
PY  - 2026
DA  - 2026/06/16
TI  - SEEK HER: An AI-Powered Mentor Matchmaking Platform for Women
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 1027
EP  - 1034
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_99
DO  - 10.2991/978-94-6239-693-7_99
ID  - Shreya2026
ER  -