AI-Based Resume Screening System

The rapid growth of job applications in modern recruitment processes has made manual resume screening a time- consuming and error-prone task for recruiters. Traditional screening methods often suffer from human bias, inconsistency, and inefficiency, especially when handling large volumes of resumes. To overcome these challenges, an AI- based Resume Screening System is proposed to automate and optimize the recruitment process using artificial intelligence and machine learning techniques. The proposed system utilizes Natural Language Processing (NLP) to extract relevant information such as skills, education, experience, and certifications from resumes in various formats. Machine learning algorithms analyze and compare candidate profiles with job requirements to rank resumes based on relevance and suitability. By incorporating techniques such as text classification,