Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
Smart-Hiring is an innovative natural language processing (NLP) pipeline designed to enhance the recruitment process by automatically extracting relevant information from resumes and matching candidates with job descriptions. This end-to-end system aims to streamline hiring by reducing the manual effort typically required in candidate evaluation. By automating information extraction, Smart-Hiring minimizes errors that can occur during manual data handling. Additionally, the pipeline seeks to eliminate biases that often influence hiring decisions, promoting a fairer selection process. The approach integrates explainability features, allowing stakeholders to understand how matches are made between candidates and job requirements. Overall, Smart-Hiring offers benefits such as increased efficiency, accuracy, and fairness in recruitment, addressing common challenges faced by human resource departments. This development aligns with ongoing efforts to leverage AI for improving hiring outcomes.
