PriyaraniSuramanji/AI-Resume-Screening-Job-Matching-System

This repository documents a combined review and proposed framework for AI-based resume screening and job matching. It targets recruiters, HR teams, ATS developers and researchers needing automated candidate shortlisting. What it is for: automating resume parsing, semantic matching to job descriptions, candidate classification and ranking, and improving selection with recruiter feedback. Key features: resume parsing (PDF/DOCX/TXT) with NER and preprocessing; feature extraction via TF‑IDF, Word2Vec, BERT and SBERT; semantic similarity using cosine similarity; classification (SVM, KNN, Random Forest, Gradient Boosting, Naive Bayes); ranking by skills, experience and qualifications; recommendation engine for missing skills; web recruiter dashboard and feedback‑driven learning. Includes comparative analysis of three prior research works.