AI-Powered Resume Analyzer and Job Matching System: A Comprehensive Review

Abstract

The AI-based job recommendation system employs Natural Language Processing (NLP), Large Language Models (LLMs), and API-based job search to automate and optimize career matching. Technical skills, experience, and job keywords are extracted from resumes with Spacy NLP and regex-based text analysis to allow candidate profiling. Information is processed with Ollama Mistral, a high-performance LLM, to predict the best job role to match based on skills and industry standards. Real- time job recommendations are obtained with RapidAPI's Job Search API, with the ability to filter search results with location-based filtering. The system optimizes job search efficiency, minimizes manual effort, and improves job-to- candidate matching accuracy. Skill gap analysis, AI-driven job ranking, and professional profile integration (Linked-In, GitHub) can be added to future development for improving recommendations. This project demonstrates the revolutionary capability of AI in employment matching, making job searching intelligent, data-driven, and personalized.