SKILLITHM: A Career Navigator Transforming Guidance into Structured Pathways

Career Guidance System is important for the students pursuing Information Technology courses to assess their capabilities and find out ways to identify their true interests in this ever-changing technical world. This paper focused mainly on AI driven career guidance through skill and behavioural prediction. It helps students make a decision for which IT career role best suits them after an assessment of their performance, technical proficiency, cognitive approach, and working style. The classifications of suitable IT career domains are predicted by analysing users’ responses gathered from skill and behavioural questionnaires structured on the web. It uses K-Mean Clustering to group users with similar traits and combines several prediction algorithms like Random Forest, XGBoost and SVM along with Majority Vote Ensemble method which looks at all the predictions made by these algorithms to give the most accurate result increasing reliability and accuracy. Also, the system incorporates a skill roadmap that is tailored for each individual and a structured learning planner that ensures measurable and technology-oriented guidance for career development to the users.