SkillLens: An AI-Powered Career Readiness And Skill Enhancement Platform

There is a serious" employability crisis" among recent graduates as a result of the growing disconnect between academic courses and changing business demands. Conventional career coaching techniques frequently rely on static keyword-matching Applicant Tracking Systems (ATS) or subjective counseling, neither of which can offer useful information about a candidate's true skill gaps or the caliber of their practical portfolios. This study introduces SkillLens, a comprehensive platform for job preparedness that democratizes career coaching by utilizing Natural Language Processing (NLP), Computer Vision, and Knowledge Graphs. The suggested solution uses a multi-module design that includes semantic skill gap analysis, automated resume parsing, and a unique AI Portfolio Analyzer that assesses project visual evidence. In order to comprehend the hierarchical links between technologies and provide tailored roadmap recommendations to close detected gaps, SkillLens makes use of a Skill Ontology. The system's effectiveness in precisely matching user profiles to target job descriptions and enhancing interview readiness through real-time feedback is demonstrated by experimental validation. The system offers an end-to-end, scalable solution that empowers job seekers in the digital economy.