AI-Recruitment And Talent Analytics System

Abstract: Recruitment is an important function of Human Resource Management, but traditional recruitment processes become difficult to manage when organizations receive a large number of job applications. Manual resume screening, subjective interview evaluation and limited use of recruitment data can increase the time required for hiring and may introduce inconsistency and bias into candidate selection. This paper presents an AI Recruitment and Talent Analytics System that combines Artificial Intelligence (AI),

Machine learning(ML),Natural Language Processing(NLP), and data analytics to support an intelligent recruitment workflow. The proposed system automates major stages of recruitment, beginning with candidate registration and resume submission. NLP-based resume processing is used to extract skills, education, certifications, and work experience. Candidate profiles are compared with job requirements to support candidate-job matching and ranking. The system also proposes an AI-based interview module for evaluating technical knowledge, communication abilities, behavioral responses, and overall performance. A recruitment analytics dashboard provides candidate rankings, hiring insights, reports, and decision-support information. The current prototype focuses on the landing page, authentication interface, candidate dashboard, HR dashboard, and AI interview interface, providing a foundation for subsequent backend, database, AI/ML, and predictive analytics integration.

Keywords: Artificial Intelligence, Recruitment ,Talent Analytics, Machine Learning, Natural Language Processing, Resume Screening, Candidate Matching, HR Analytics, AI Interview, Hiring Automation.