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This study aims to create a computerized career guidance information management system to improve traditional counseling methods.

June 19, 2026Open Access

Intelligent-Based Career Guidance Information Management

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This study aims to create a computerized career guidance information management system to improve traditional counseling methods.
Developed a web-based platform using Python (Flask, TensorFlow) for backend and HTML, CSS, JavaScript for frontend.
Implemented a recommendation engine leveraging machine learning algorithms for tailored career suggestions.
Included features such as user registration and dynamic recommendation refinement based on questionnaire responses.
The system provides personalized career recommendations based on users' skills and interests.
Adaptive recommendations improve over time, offering more accurate career paths as more data is collected.
Highlights the efficiency and accessibility of AI-powered career counseling solutions.

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Randomized trial develops an AI-driven career guidance platform for personalized career suggestions, enhancing accessibility.

Egete et al. (2026) studied this question.

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