AI POWERED RECRUITMENT AND CANDIDATE SCREENING SYSTEM
#1 Ms. R. Jenifer, @2Rohith U, @3Sadhana G, @4 Yashvanth Kumar E
#1Assistant Professor, Sri Shakthi Institute of Engineering and Technology, Coimbatore,
rjenifercse@siet.ac.in,
@2, @3, @4 UG Student, Sri Shakthi Institute of Engineering and Technology, Coimbatore, rohithu22cse@srishakthi.ac.in sadhanag22cse@srishakthi.ac.in
yashvanthkumare22cse@srishakthi.ac.in
Abstract – The AI POWERED RECRUITMENT AND CANDIDATE SCREENING SYSTEM is an advanced, AI-powered platform developed to streamline and optimize the hiring process. This system utilizes cutting-edge artificial intelligence techniques to automate resume screening, skill extraction, and job matching, ensuring that candidates are accurately aligned with suitable job opportunities based on predefined requirements and current industry demands. By incorporating Natural Language Processing (NLP) and machine learning algorithms, the platform efficiently analyses candidate profiles and compares them with job descriptions, significantly reducing the need for manual shortlisting. One of the core features of the system is the Real-Time AI Interview Module, which conducts automated interviews through voice or text- based interactions. This module intelligently assesses candidates’ communication abilities, confidence levels, and technical expertise, and generates instant performance reports for recruiters. The integration of resume analysis, intelligent job matching, and automated interviewing creates a fair, efficient, and data-driven recruitment process. Additionally, the system enhances the candidate experience by providing personalized job recommendations and immediate feedback. It also features a scalable and cloud-based architecture, ensuring seamless handling of large volumes of applications while maintaining system performance and reliability. Overall, this solution transforms traditional recruitment methods into a smart, automated, and real-time talent acquisition system, saving time and improving decision-making for organizations
Keyword- Artificial Intelligence; Recruitment Automation; Resume Parsing; Natural Language Processing; Machine Learning; Job Recommendation System; Semantic Matching; Interview Scheduling; AI Mock Interview; Real-Time Calendar Integration; Candidate-Job Matching; Named Entity Recognition; Deep Learning; Reinforcement Learning; Explainable AI; Skill Gap Analysis; Career Recommendation; Behavioral Analysis; Cloud-Based System; Intelligent Hiring Platform
