SkillSync: An AI-Based Skill Gap Analyzer Using Machine Learning

This paper presents SkillSync, an AI-based skill gap analyzer designed to identify the difference between a student’s existing skills and industry-required skills. The system uses machine learning techniques to extract skills from resumes and compare them with predefined industry skill sets. A recommendation system suggests relevant courses and resources to improve employability. The model is implemented using Python and achieves efficient skill matching with improved accuracy. The proposed system helps students understand their skill gaps and enhances career readiness.