AI Career Coach: An ML-based Framework for Resume Analysis and Career Recommendation

Accelerating technological innovations, emerging workplace needs, and evolving expectations among jobseekers have led to a fundamental change in the way students perceive the recruitment process. Driven by this, many people and organizations have sought alternative, data-driven channels to avail career guidance and counseling services. In this paper, we present AI Career Coach Master, a holistic Career Development Solution to assist placement cells and students of universities with Resume Scoring, Career Recommendation, and Skill Gap Analysis modules based on AI. Our system leverages a suite of machine learning, natural language processing, and semantic similarity algorithms to parse resumes and provide targeted, datadriven recommendations. The Resume Scoring module assigns scores to various aspects of a resume, such as content, relevance, quality, and ATS-friendliness. The Career Recommendation engine maps the candidate’s profile against available job roles and suggests the most relevant ones using a hybrid matching approach. Finally, the Skill Gap Analyzer compares user skills against industry benchmarks and provides a custom-made skill-upgradation roadmap. Experimental results show the proposed system can effectively enhance candidate readiness and help in making better-informed career decisions. The developed solution can be used as a helpful tool for universities, placement cells, and individuals seeking a structured and scalable career development solution.