Title : AN ENHANCING RECRUITMENT EFFICIENCY THROUGH
Author : Dr. C. Hari Kishan, Atchutuni Siva Krishna Sruthi, Batta Layasri, Boddu Chinni Mounika
Abstract :
Due to the increase in job applications brought on by the quick development of digital recruiting platforms, recruiters are finding it difficult to quickly find qualified applicants. In order to get an appropriateness score, the suggested system maps the essential CV components—skills, experience, education, and certifications—to the job specifications. It efficiently rates and categorizes candidates using supervised learning, feature engineering, and data preparation. In order to ensure accuracy, fairness, and transparency, the model prioritizes contextual analysis over straightforward keyword matching. In the end, it promotes data-driven recruiting decisions, reduces human bias, and increases recruitment efficiency.
