AI-Powered Resume Analysis Using SpaCy for Skill Extraction and Job Matching
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AI-Powered Resume Analysis Using SpaCy for Skill Extraction and Job Matching
1st Dr.A. Karunamurthy1, 2nd M. Barath2
1Associate Professor, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India
2Post Graduate student, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India
*Corresponding author’s email address: barathmani9489@gmail.com
Abstract -In today's competitive job market, recruiters face the challenge of efficiently sifting through vast volumes of resumes to identify the best candidates for open positions. Traditional keyword-based filtering methods are often inadequate in identifying the nuances of skills and experiences required for specific job roles. This project presents an AI-powered resume analysis system using the SpaCy natural language processing (NLP) library to enhance the accuracy of resume screening and job matching. Leveraging SpaCy's advanced capabilities, including Named Entity Recognition (NER), semantic similarity, and text classification, the system can extract and analyze critical information from resumes, such as skills, work experience, and educational qualifications. By applying semantic analysis, the proposed solution goes beyond simple keyword matching, enabling the system to assess resumes based on content relevance and context. Additionally, the system includes a skill gap analysis feature, which identifies missing or underdeveloped skills in a candidate's profile compared to job requirements. This not only streamlines the recruitment process but also provides candidates with actionable feedback to enhance their qualifications. The integration of SpaCy with AI techniques ensures a scalable, efficient, and robust approach to resume screening, thereby reducing hiring time and improving the quality of candidate selection for organizations.
Keywords: AI-powered resume analysis, Natural Language Processing SpaCy (NLPS) SpaCy, skill extraction, Named Entity Recognition (NER), resume screening, skill gap analysis, text classification, candidate profiling, content relevance, contextual resume assessment.
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