AI-Powered Resume Analyzer & Smart Job Matching Platform

Authors: Vibhuti Chaddha, Nikunj Agarwal, Dr. Yatu Rani

Abstract: Abstract: The rapid growth of digital recruitment platforms and online hiring systems has significantly increased the volume of job applications received by organizations, making manual resume screening and candidate shortlisting time-consuming and inefficient. Traditional recruitment methods and keyword-based Applicant Tracking Systems (ATS) often fail to accurately identify suitable candidates due to limited semantic understanding and dependency on exact keyword matching. To address these limitations, this paper presents SmartHireX: AI-Powered Resume Analyzer & Smart Job Matching Platform, an intelligent recruitment system designed to automate resume analysis, improve candidate-job matching accuracy, and enhance recruitment efficiency. The platform is designed to support both recruiters and job seekers. Recruiters can automate candidate screening, ranking, and shortlisting processes, thereby reducing manual effort and improving hiring decision-making. Job seekers benefit from personalized resume improvement suggestions, missing keyword identification, skill gap analysis, and intelligent job recommendations that help optimize resumes according to industry and ATS standards.The system is implemented using modern web and AI technologies, including React and Tailwind CSS for frontend development, Flask (Python) for backend services, spaCy for Natural Language Processing tasks, and scikit-learn for Machine Learning and similarity analysis. Supabase is used for database management, while deployment can be supported using scalable cloud infrastructure. Experimental analysis and system evaluation demonstrate that the proposed platform improves recruitment accuracy, reduces screening time, and enhances candidate-job compatibility analysis compared to traditional recruitment approaches.

DOI: https://doi.org/10.5281/zenodo.20215014