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Author(s):

Dhanush C | Adhithyan S | Kamala Sharathi S | Deepadharsan S | Mrs. S. Sugantha
Keywords:

Resume Screening, Natural Language Processing, Semantic Skill Matching, Fraud Detection, Bias Mitigation, Explainable AI, Candidate Ranking, Recruitment Automation.
Abstract:
TalentIQ Is An AI-powered Resume Intelligence System Designed To Automate Candidate Screening And Improve Recruitment Efficiency. The System Analyzes Resumes Using Natural Language Processing (NLP) And Semantic Skill Matching Techniques To Identify The Most Relevant Candidates. Unlike Traditional Applicant Tracking Systems (ATS) That Rely Solely On Keyword Matching, TalentIQ Incorporates Fraud Detection Mechanisms To Identify Exaggerated Or Misleading Resume Claims, Including Timeline Inconsistencies And Unsupported Skill Claims. The Framework Applies Anonymization Techniques To Remove Personally Identifiable Information, Thereby Reducing Bias And Ensuring Fair Candidate Evaluation During The Screening Process. An Explainable Ranking Mechanism Provides Transparent Justifications For Candidate Scores, Enabling Data-driven Hiring Decisions. The System Accepts Resumes In PDF And DOCX Formats, Performs Multi-factor Evaluation Combining Skill Relevance, Experience Validation, Authenticity Verification, And Fraud Risk Indicators, And Generates Ranked Candidate Leaderboards With Detailed Reasoning For Each Evaluation Decision.