CV Analysis Using Machine Learning

Abstract

Abstract - The growing number of job applicants in today’s competitive employment landscape makes it challenging for recruiters and hiring managers to efficiently filter through numerous CVs and resumes. Traditional manual methods of candidate screening are time-consuming, error-prone, and subject to human bias. To overcome these limitations, this project, CV Analysis Using Machine Learning, aims to automate the process of reviewing and shortlisting candidates by leveraging the power of machine learning algorithms. The system employs natural language processing (NLP) techniques to automatically parse CVs, extracting critical information such as skills, qualifications, educational background, work experience, and other relevant attributes.