JobSense: AI-Driven Resume Matcher and Job Market Analyzer

Abstract

This project introduces JobSense, an AI-powered platform built to improve the hiring process by creating more meaningful connections between job seekers and employers. Unlike traditional recruitment systems that depend heavily on keyword matching and often fail to identify qualified candidates, JobSense uses advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques to interpret the actual context behind a candidate’s skills and professional experience. The platform is designed with a dual focus— supporting job seekers while also making recruitment more efficient. For candidates, JobSense works like an intelligent career assistant that evaluates their skills and experience to recommend job opportunities where they are most likely to succeed. When a candidate’s profile matches a job’s requirements, the system automatically suggests relevant openings based on the candidate’s matching score, improving their chances of getting hired. In addition to job matching, the platform also highlights trending skills and emerging career paths, helping users plan their learning and career growth more effectively. For recruiters, JobSense simplifies the hiring workflow by reducing the effort and uncertainty involved in manual resume screening. Instead of relying on keyword-based filters, the system generates a ranked list of candidates based on real skill compatibility. Through the recruitment portal, hiring managers can quickly identify strong candidates with clear and transparent match scores, enabling faster and more confident hiring decisions. As a result, JobSense helps reduce hiring time while improving the overall quality of shortlisted candidates.