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c9f05a2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | # 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`
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