Project description:
AI Bias Detection and Mitigation Framework for Recruitment Systems.
Built a complete, production-ready tool that:
Detects gender, race, and age bias in hiring ML models
Uses industry-standard fairness metrics (Disparate Impact, Demographic Parity, Equal Opportunity)
Applies Reweighing mitigation (AIF360) → improves fairness while keeping accuracy loss < 2%
Includes interactive Gradio demo for live testing
Full business impact section + compliance notes (EEOC 4/5th rule, GDPR, EU AI Act)