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AI-Based Web Application for Career Enhancement Through Learning and Mentorship

AI-Based Web Application for Career Enhancement Through Learning and Mentorship
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Author(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Shivam Kushwaha (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Himanshi Sharma (Raj Kumar Goel Institute of Technology, Ghaziabad, India)and Khushi Verma (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.ch003

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Abstract

The integration of artificial intelligence (AI) into career enhancement platforms has the potential to revolutionize professional development. However, challenges such as lack of dynamic skill assessment, ineffective mentor-mentee matching, and limited integration of real-time job market insights remain. An AI-based web application combines natural language processing and machine learning to create personalized career pathways, recommend tailored learning resources, and facilitate optimal mentor-mentee connections. Preliminary results show significant improvements in user engagement, skill acquisition, and career progression compared to traditional methods, with a 30% increase in user satisfaction and a 25% faster achievement of career milestones.

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