Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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CareerCraft: Career Counselling Through Artificial Intelligence and Machine Learning

Authors
Manoj Kumar Singh1, *, Yash Chandrakar1, Ishaan Garg1
1Shri Shankaracharya Institute of Professional Management & Technology, Raipur, India
*Corresponding author. Email: msingh@ssipmt.com
Corresponding Author
Manoj Kumar Singh
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_40How to use a DOI?
Keywords
Machine Learning; K-Nearest Neighbour (KNN); career counselling; personalized recommendations; data-driven insights; skill-based assessments; AI-driven platform
Abstract

CareerCraft is an AI-driven career counselling platform that leverages the K-Nearest Neighbour (KNN) algorithm to provide personalized career recommendations for secondary-level students. By analyzing skills, interests, and preferences, the platform predicts suitable job roles with an overall accuracy of 92%. Roles like Graphics Designer, Networking Engineer, and Technical Writer etc. showed high precision and balanced recall, while roles like AI ML Specialist highlighted areas for improvement. CareerCraft bridges gaps in traditional counselling by offering real-time insights, dynamic assessments, and interactive tools that ensure inclusivity and accessibility. Its integration of community forums and knowledge-sharing networks fosters engagement, empowering students to make data-driven career decisions. The platform effectively adapts to the rapidly evolving job market, providing relevant and actionable guidance. This study demonstrates the potential of machine learning in modernizing career counselling, offering a scalable and impactful solution for diverse student needs. CareerCraft redefines career guidance by providing access to high-quality recommendations and supporting informed career choices.

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 the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_40How 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

risenwbib
TY  - CONF
AU  - Manoj Kumar Singh
AU  - Yash Chandrakar
AU  - Ishaan Garg
PY  - 2025
DA  - 2025/06/22
TI  - CareerCraft: Career Counselling Through Artificial Intelligence and Machine Learning
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 495
EP  - 503
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_40
DO  - 10.2991/978-94-6463-738-0_40
ID  - Singh2025
ER  -