| tags: | |
| - mental-health | |
| - xgboost | |
| - flask | |
| license: mit | |
| # Mental Health Prediction Model | |
| ## Overview | |
| This project predicts mental health status (Low, Moderate, High) using a Flask app and an XGBoost model. | |
| ## Files | |
| - app.py: Flask app for predictions | |
| - index.html: Web interface | |
| - mental_health_model_final.pkl: Trained XGBoost model | |
| - scaler_final.pkl: Scaler for preprocessing | |
| - le_gender_final.pkl: Label encoder for Gender | |
| - le_target_final.pkl: Label encoder for target | |
| ## How to Use | |
| 1. Install dependencies: `pip install -r requirements.txt` | |
| 2. Run the app: `python app.py` | |
| 3. Access at `http://localhost:5000` |