d-e-e-k-11/AI-hiring

Bias Detection in AI-Assisted Hiring Systems

A comprehensive dashboard for detecting and mitigating algorithmic bias in AI-driven recruitment.

Features

• Disparate Impact Analysis: Tracks selection rates across Gender and Race.
• Intersectional Equity Audit: Analyzes bias at the junction of multiple demographic identities.
• Bias Simulation: Predicts hiring outcomes for custom candidate profiles.
• Fairness Mitigation: Integrated "Fair-Mask™" mitigation strategy using dynamic thresholding.

Stack

• Backend: Flask, Scikit-learn, Pandas
• Frontend: Vanilla CSS (Glassmorphism), Chart.js
• Model: Logistic Regression for hiring outcome simulation.

How to Run

1. Install dependencies:

   pip install -r requirements.txt
   

2. Train the model:

   python train_model.py
   

3. Run the application:

   python app.py
   

4. Access the dashboard at http://127.0.0.1:5001