This project focuses on developing a smart job recommendation system that matches candidate skills and experience with job openings using machine learning techniques, improving employment matching efficiency.
Collect job listings and candidate profile datasets Preprocess textual and numerical data Apply NLP for skill extraction Train recommendation models Calculate similarity scores Rank job recommendations Build candidate and recruiter interfaces Test recommendation accuracy Visualize matching results Document system workflow
