AI-BASED RESUME SHORTLISTING FOR HR TEAMS

This proposed work an AI-based resume shortlisting system that automates initial candidate screening using natural language processing (NLP) and machine learning (ML) techniques. The system extracts key attributes from resumes and job descriptions, then intelligently matches them to generate ranked candidate lists. The proposed approach combines TF-IDF vectorization, word embeddings, and ML classifiers (SVM, Random Forest) with transformer-based models (BERT) to achieve competitive matching accuracy. Implemented as a user-friendly web application. Comprehensive testing demonstrates 82–91% accuracy improvement over