This project is a Machine Learning-based system that predicts:
- 💰 Future Income
- 🔥 Burnout Risk
- 🌟 Life Balance Score
based on lifestyle habits like sleep, work hours, exercise, and stress.
To build a decision-support system that helps users understand how their lifestyle impacts their future outcomes.
- Income prediction using Machine Learning (Regression)
- Burnout risk classification (Low / Medium / High)
- Life Balance Score based on lifestyle inputs
- Personalized suggestions & AI insights
- Interactive UI using Streamlit
- Python
- Pandas
- NumPy
- Scikit-learn
- Streamlit
This project uses a synthetic dataset generated using realistic behavioral assumptions:
- Higher work hours → higher stress & burnout
- Better sleep & exercise → improved lifestyle score
- Learning & savings → higher income potential
pip install -r requirements.txt
python train_model.py
streamlit run app.py
- Feature engineering and dataset design
- Machine Learning model building
- Handling classification and regression tasks
- Building interactive ML applications
- Use real-world datasets
- Deploy as a web application
- Add advanced visualizations
Shravani Kola