AI-Driven Recruitment: Resume Screening and Skill Matching with NLP

The employment process is greatly enhanced and effective by the application of artificial intelligence (AI) in recruitment process. This work presents a data-driven approach to improve resume screening and job matching. This paper presents a data-driven approach to improve resume screening and job matching using Natural Language Processing (NLP) techniques, specifically spaCy and Word2Vec, along with AI-powered technologies. By focusing on skill extraction through keyword matching and vectorization, the system efficiently processes resumes and job descriptions.In order to help understand the process, The study also explores how these AI technologies promote more inclusive and equitable recruitment practices, streamlining the hiring process, improving candidate-job alignment, and offering a scalable, ethical solution for modern HR systems..This research provide a diverse filed of AI in HR for scalability, ethical and equitable recruitment systems.