# 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:
   ```bash
   pip install -r requirements.txt
   ```
2. Train the model:
   ```bash
   python train_model.py
   ```
3. Run the application:
   ```bash
   python app.py
   ```
4. Access the dashboard at `http://127.0.0.1:5001`