Authors : Usha Rani K.; Gokul Nath T. A.; Asokaindrajith A. K.; Harish K.

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/msh44ytn

Scribd : https://tinyurl.com/yf298b75

DOI : https://doi.org/10.38124/ijisrt/26mar1213

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Choosing the right career path is one of the most critical decisions a student or professional must make. In today’s competitive world, the availability of diverse career options often leads to confusion, especially among students who lack structured guidance. The AI Based Career Guidance System addresses this challenge by providing a smart, web-based platform that collects user data such as skills, interests, academic background, and preferences, and maps them to the most suitable career paths using artificial intelligence techniques. The system is built using Python and the Flask web framework, with an AI rule engine at its core that evaluates user inputs against a structured career knowledge base. Unlike traditional counselling, the system is available 24/7, highly scalable, and accessible to users in both urban and rural areas. A userfriendly web interface ensures seamless interaction. The proposed system achieves an average recommendation accuracy of 91% across diverse test user profiles, demonstrating its effectiveness as an intelligent career guidance solution.

Keywords : Artificial Intelligence; Career Recommendation; Decision Support System; Machine Learning; Web Application; Flask Framework; Rule-Based Engine; Student Guidance; Python; Career Counselling.

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