AI-Based Career Guidance System

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Minakshee Chandankhede
Shreyash Meshram
Sneha Sayam
Yadynesha Wankhede
Prapti Jadhao
Saloni Jaiswal

Abstract

Choosing the right career is one of the most important decisions for students. Traditional career guidance systems are often static, based on outdated datasets, and fail to provide dynamic, personalized advice. This research proposes an AI-Based Career Guidance System that leverages Generative AI (Gemini API) to generate real-time recommendations tailored to a student’s academic performance and interests. Unlike conventional models, this system does not rely on pre-stored datasets but dynamically analyzes inputs to suggest relevant career paths. User profiles and AI-generated suggestions are stored securely in MongoDB Atlas, with JWT authentication ensuring safe access. The system is lightweight, scalable, and designed to be user-friendly, making it suitable for educational institutions and self-guided learners.

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How to Cite
Chandankhede, M., Meshram, S., Sayam, S., Wankhede, Y., Jadhao, P., & Jaiswal, S. (2025). AI-Based Career Guidance System. International Journal on Advanced Computer Engineering and Communication Technology, 14(3s), 197–201. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/1621
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