Skill Gap Analysis Using Machine Learning

The “Skill Gap Analysis Using Machine Learning” project aims to bridge the gap between user skillsets and industry requirements.It examines user resumes, finds skill gaps, and gives a path for skill improvement using Natural Language Processing (NLP) and machine learning techniques. Additionally, the system suggests resources for interview preparation based on the professional domains that the user has chosen. This platform supports firms in workforce development while providing users with practical insights for career growth. KEYWORDS: Skill Gap Analysis, Machine Learning, Natural Language Processing (NLP), Resume Analysis, Skill Enhancement, Industry Requirements, Career Growth, Personalized Development Roadmap, Interview Preparation Resources, Career Domains, Workforce Development, Skill Recommendations, Employee Development, Data- Driven Insights, Job Market Alignment, User-Centric Design, Actionable Insights, Predictive Analytics, Skill Matching, Resource Optimization.