SkillSync: A Hybrid AI-Driven Framework for Resume Analysis, Skill Gap Detection, and Career Alignment

The rapid evolution of the job market and technology has created a growing mismatch between individual skills and industry requirements. SkillSync is an intelligent web platform that helps users connect their skills with current industry opportunities. Using AI-based analysis of resumes, it identifies strengths and learning needs to guide users toward suitable roles and relevant courses. The system leverages advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques such as TF-IDF and cosine similarity to extract, classify, and evaluate user skills with high accuracy. By comparing extracted skills with job market data, SkillSync computes a skill–job match percentage and identifies key skill gaps, enabling users to focus on specific areas for improvement. Furthermore, the platform provides personalized job recommendations, learning resources, and career roadmaps to help individuals enhance their employability. The backend is developed using FastAPI, integrated with Supabase and Firebase for secure and scalable data handling, while the frontend ensures a seamless user experience through a responsive web interface. Evaluation metrics such as accuracy and precision are used to assess the model’s matching performance. Ultimately, this project aims to simplify career decision-making through intelligent automation, offering a practical and scalable solution that empowers students and professionals to navigate the evolving job landscape with clarity and confidence. Keywords - Career Recommendation, Resume Parsing, Skill Gap Analysis, NLP, TF-IDF, Cosine Similarity, AI Career Guidance, Explainable AI