IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

CareerQuest: AI-Based Tool for Career Counselling

CareerQuest: AI-Based Tool for Career Counselling
View Sample PDF
Author(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Aman Vashistha (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Anmol Tyagi (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Anshul Baghel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)and Abhay Prajapati (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 16
Source title: AI-Enhanced Cybersecurity for Industrial Automation
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India)
DOI: 10.4018/979-8-3373-3241-3.ch011

Purchase

View CareerQuest: AI-Based Tool for Career Counselling on the publisher's website for pricing and purchasing information.

Abstract

Career counselling is crucial in guiding individuals towards fulfilling careers, and AI-based tools are increasingly important due to the complexity of career options and industry evolution. This chapter discusses the development of CareerQuest, an AI-based tool that integrates a chatbot, aptitude testing, and academic performance analysis to provide personalized career guidance. The tool combines natural language processing (NLP), machine learning algorithms, and academic data analysis in a unified platform. Results show that CareerQuest provides highly accurate and actionable career recommendations, outperforming traditional counselling methods in terms of personalization, accessibility, and user satisfaction. This comprehensive and intelligent approach makes it a groundbreaking tool in the field of career counselling.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom