DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-POWERED CAREER SYSTEM

Authors

  • Gbadamosi O.A.
  • Owoeye O.O Department of Computer Science, Olusegun Agagu University of Science and Technology (OAUSTECH), Okitipupa, Ondo State, Nigeria.

DOI:

https://doi.org/10.4314/coast.v7i2.19s

Keywords:

Psychometric Analysis, Natural Language Processing (NLP), Scalability, User-centric Design

Abstract

The AI-Powered Career System is designed to help students discover suitable career paths based on their interests, skills, and academic background, utilizing artificial intelligence to generate personalized recommendations that align students' potential with real-world opportunities. Many students face uncertainty when making career choices due to limited access to accurate, timely, and customized guidance, while traditional counseling methods often remain manual, generic, and outdated. This system addresses those challenges by offering an intelligent, automated, and interactive platform that adapts to individual user inputs and delivers relevant career suggestions in real time. Developed using PHP for backend logic and standard web technologies such as HTML, CSS, and JavaScript for the frontend, the system integrates the OpenAI API to generate AI-based recommendations based on structured assessment inputs from users. Core modules include user authentication, career assessment, dynamic recommendation generation, and a career exploration interface. The system was tested through simulated user interactions and feedback sessions to evaluate its usability, accuracy, and performance. Results showed that the system consistently provided insightful and personalized career suggestions, with users reporting a smooth navigation experience, fast response times, and high relevance in the AI-generated outcomes. These results indicate that the system enhances user engagement and improves the decision-making process for career planning. In conclusion, the AI-Powered Career System demonstrates that combining PHP with AI technology can create a powerful and scalable tool for modern educational guidance, simplifying career decisions and empowering students with tailored support to pursue fulfilling career paths.

Author Biography

Gbadamosi O.A.

The AI-Powered Career System is designed to help students discover suitable career paths based on their interests, skills, and academic background, utilizing artificial intelligence to generate personalized recommendations that align students' potential with real-world opportunities. Many students face uncertainty when making career choices due to limited access to accurate, timely, and customized guidance, while traditional counseling methods often remain manual, generic, and outdated. This system addresses those challenges by offering an intelligent, automated, and interactive platform that adapts to individual user inputs and delivers relevant career suggestions in real time. Developed using PHP for backend logic and standard web technologies such as HTML, CSS, and JavaScript for the frontend, the system integrates the OpenAI API to generate AI-based recommendations based on structured assessment inputs from users. Core modules include user authentication, career assessment, dynamic recommendation generation, and a career exploration interface. The system was tested through simulated user interactions and feedback sessions to evaluate its usability, accuracy, and performance. Results showed that the system consistently provided insightful and personalized career suggestions, with users reporting a smooth navigation experience, fast response times, and high relevance in the AI-generated outcomes. These results indicate that the system enhances user engagement and improves the decision-making process for career planning. In conclusion, the AI-Powered Career System demonstrates that combining PHP with AI technology can create a powerful and scalable tool for modern educational guidance, simplifying career decisions and empowering students with tailored support to pursue fulfilling career paths.

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Published

2025-12-04