Published Paper Details:

The rapid adoption of Applicant Tracking Systems (ATS) has transformed the recruitment process by automating the initial screening of resumes. Although these systems improve efficiency, they often reject qualified candidates due to poor keyword matching, improper formatting, and lack of alignment between resumes and job descriptions. This paper presents ResuMatch, an AI-based resume screening and enhancement system designed to assist job seekers in optimizing their resumes according to ATS and industry requirements. The proposed system uses Natural Language Processing techniques to analyze resumes and job descriptions, compute an ATS compatibility score, identify missing skills and keywords, and perform skill gap analysis. It further provides personalized recommendations including suitable projects, relevant online courses, and alternative career paths, along with spelling and grammatical correction to improve resume quality. The integrated framework of ResuMatch offers a comprehensive solution for resume optimization and career guidance, helping candidates improve their chances of shortlisting in an increasingly competitive job market.