Smart Recommendation System for Moocs with Skill Gap Analysis And AI Career Guidance

Massive Open Online Courses (MOOCs) have revolutionized digital education by offering flexible and affordable learning opportunities. However, learners often struggle to choose the right courses, identify missing skills, and build a structured path toward employability. This paper presents a Smart Recommendation System for MOOCs that integrates Resume Upload, Skill Extraction, Skill Gap Analysis, AI Roadmap Generation, Course Recommendation, Resume Scoring, Internship/Job Match, Gamification, and an AI Career Assistant. The proposed framework uses profile-based analysis and intelligent recommendation logic to provide personalized learning paths aligned with learner goals and industry requirements. By connecting educational progression with career readiness, the system transforms static MOOC browsing into an adaptive, goal-oriented learning experience.

Index Terms— MOOC Recommendation, Skill Gap Analysis, Resume Analysis, Adaptive Learning, AI Career Guidance, Recommendation System.

T.Kanchana M.E, Manu Priya M, Monisha M, Shilpakala L, Brindha R K (2026). Smart Recommendation System for Moocs with Skill Gap Analysis And AI Career Guidance. International Journal of Innovative Research in Multidisciplinary Education & Technology (IJIRMET), 11(3).