International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

AI-Based Career Guidance System

Dr. Minakshee ChandankhedeAssistant Professor, Computer Science and Engineering, G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, IndiaShreyash MeshramComputer Science and Engineering, G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, IndiaSneha SayamComputer Science and Engineering, G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, IndiaYadynesha WankhedeComputer Science and Engineering, G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, IndiaSaloni JaiswalComputer Science and Engineering, G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, IndiaMs. Pallavi HiwarkarAssistant Professor, Computer Science and Engineering, G H Raisoni College of Engineering and Management, Nagpur, Maharashtra, India

Vol 9 No 12 (2025): Volume 9, Issue 12, December 2025 | Pages: 158-162

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 25-12-2025

doi Logo doi.org/10.47001/IRJIET/2025.912024

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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 Traditional career guidance systems are often static, based on outdated datasets, and fail to provide dynamic, personalized advice.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.

Keywords

Career Guidance, Artificial Intelligence, Generative AI, Recommender Systems, MongoDB, JWT, Gemini API


Citation of this Article

Dr. Minakshee Chandankhede, Shreyash Meshram, Sneha Sayam, Yadynesha Wankhede, Saloni Jaiswal, & Ms. Pallavi Hiwarkar. (2025). AI-Based Career Guidance System. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(12), 158-162. Article DOI https://doi.org/10.47001/IRJIET/2025.912024

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