Resume Screening using Machine Learning

The rapid advancement of the technology field has ushered in a wave of employment opportunities across various sectors, necessitating organizations to efficiently sift through a multitude of resumes to identify the most suitable candidates for their specific job requirements. To address this challenge, we propose a research paper that presents a systematic approach to effectively sorting resumes based on company-specific requirements, enabling the identification of the most qualified candidates for specific job roles. This research paper introduces a cutting-edge solution that harnesses state-of-the-art technologies, including Machine Learning and Natural Language Processing (NLP), in conjunction with cosine similarity. A model has been developed to recognize