Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

Mindmentor: Connect Career With AI

Authors
Janhavi Dwivedi1, *, Khushi Sharma1, Manisha Tayal1, Rohit1
1ABES Engineering College, Ghaziabad, UP, India
*Corresponding author. Email: janhavidwi7071@gmail.com
Corresponding Author
Janhavi Dwivedi
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_251How to use a DOI?
Keywords
Artificial Intelligence; Counselling Guidance; Techniques; Comprehensive; Career
Abstract

Career guidance in the modern era faces significant challenges in creating accessible systems that effectively bridge education and employment. While there has been limited research on leveraging artificial intelligence (AI) in this domain, its potential to transform career guidance services in higher education is increasingly recognized. This paper explores the development of an AI-based career counselling system to enhance guidance within educational institutions. To address this, we have implemented an AI-based career counselling system using the K-Nearest Neighbour (KNN) algorithm to classify candidates’ skill sets and predict the best fit departments for them and K-Means Clustering to analyze student’s academic scores, forming groups that helped us evaluate success rates across various career tracks. These techniques enable dynamic classification of student skills and comprehensive analysis of academic performance, resulting in highly personalized career recommendations. Our proposed model shows superior accuracy and adaptability compared to traditional systems. Furthermore, its capability to process and analyze real-time data ensures it remains aligned with the evolving job market, positioning it as a valuable tool for forward-looking career planning.

Copyright
© 2025 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 International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_251How to use a DOI?
Copyright
© 2025 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  - Janhavi Dwivedi
AU  - Khushi Sharma
AU  - Manisha Tayal
AU  - Rohit
PY  - 2025
DA  - 2025/11/04
TI  - Mindmentor: Connect Career With AI
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2995
EP  - 3004
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_251
DO  - 10.2991/978-94-6463-858-5_251
ID  - Dwivedi2025
ER  -