International Journal of Scientific Research and Engineering Development

Career selection is a critical decision for students, yet many engineering institutions lack scalable and personalized guidance systems. This paper presents an AI-powered web-based career guidance system titled Turning Skills and Interests into Clear Future Paths. The system integrates the OpenAI GPT large language model with a Flask-based backend to analyze students’ education level, academic performance, technical skills, and interests to generate personalized career recommendations. Each recommendation includes a justification, a structured skill development roadmap, and curated resources such as online courses and internship platforms. A SQLite database stores user profiles and recommendation histories. Evaluation with 40 final-year B.Tech students showed that 87.5% found the recommendations relevant and 81% considered the system more actionable than traditional counseling. The proposed system provides a scalable and accessible solution for personalized career guidance.

Poonam N. Khandar, Gauri J. Jane, Sakshi V. Rode, Kanchan Wadhonkar, Pranita Nawale, Dr.Ranjit R. Keole,"Turning Skills and Interests into Clear Future Path" International Journal of Scientific Research and Engineering Development, V9(2): Page(1888-1895) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.