Smart Resume Filter and HR Assistant

In today’s rapidly evolving job market, Human Resource (HR) departments face a major challenge — screening and shortlisting hundreds of resumes for each job posting. The manual process of resume evaluation is time- consuming, subjective, and often influenced by unconscious human biases. This paper presents a Smart Resume Filter and AI HR Assistant, a complete automation framework developed using Natural Language Processing (NLP) and Machine Learning (ML) to optimize the recruitment pipeline. The system automatically extracts candidate details from PDF or DOCX resumes, identifies key attributes such as education, experience, and skills, and compares them against job descriptions provided by HR teams. A custom ranking algorithm assigns a relevance score to each candidate and presents the output on a user-friendly dashboard. Additionally, the integrated AI HR Assistant interacts with HR professionals, enabling them to query candidate data and receive instant insights. Experimental evaluation using a dataset of 500 resumes demonstrates a 92% extraction accuracy, 87% ranking alignment with HR evaluations, and a reduction in screening time by 72%. This system significantly enhances efficiency, consistency, and fairness in recruitment decision-making.