AI-BASED SMART RECRUITMENT AND CANDIDATE RANKING SYSTEM

Abstract

Recruitment is an important process for organizations because selecting suitable candidates directly affects productivity, performance, and business growth. Traditional recruitment processes often require recruiters to manually review large numbers of resumes, compare candidate qualifications, conduct initial screening, and shortlist applicants. When the number of applications is high, this process becomes time-consuming and can result in delays or inconsistent evaluations. The AI-Based Smart Recruitment and Candidate Ranking System is proposed as an intelligent solution for automating candidate screening and ranking. The proposed system uses Artificial Intelligence, Natural Language Processing, and Machine Learning to analyze resumes and job descriptions. The system extracts important information such as educational qualifications, technical skills, work experience, certifications, projects, and other job-related attributes from candidate resumes. It also analyzes the requirements specified in a job description and identifies the skills and qualifications required for the position. After extracting relevant information, the system compares candidate profiles with job requirements and calculates a matching score. Candidates can then be ranked according to factors such as skill relevance, educational qualifications, experience, certifications, and other predefined criteria. The system can identify candidates who closely match the requirements and generate a shortlist for further evaluation by recruiters. A centralized recruitment dashboard can display candidate profiles, matching scores, rankings, extracted skills, experience, and screening results. Recruiters can search, filter, compare, and review candidates more efficiently. The system can also provide explanations for ranking factors so that recruiters can understand why a candidate received a particular score rather than relying only on an unexplained automated decision. Overall, the proposed system aims to reduce repetitive recruitment work, improve screening efficiency, and support recruiters in handling large application volumes. The system should be used as a decision-support tool rather than an automatic hiring decision-maker, with human recruiters reviewing shortlisted candidates and ensuring that recruitment decisions comply with applicable employment, privacy, and fairness requirements. Future enhancements can include multilingual resume processing, interview scheduling, skill-gap analysis, candidate recommendations, and integration with Applicant Tracking Systems.