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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55132
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This report details the design, implementation, and validation of CareerPath AI, a Chatbot-Based Career Guidance System developed to address student indecision by providing structured, personalized career recommendations. Unlike systems relying on Natural Language Processing (NLP), CareerPath AI is powered by a Rule-Based Expert System, which utilizes the principles of Trait and Factor Theory to map user input to appropriate career paths. The system uses a multi-step conversational interface to assess students across 12 weighted questions focused on Interests, Skills, and Work Values. The output is a graphical Dashboard that displays the quantified Overall Career Fit Score via a Bar Chart and a visual Profile Analysis via a Radar Chart. This methodology ensures high transparency and feasibility for the prototype, setting a strong foundation for future ML integration.
KEYWORDS
Publication Date
11/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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