This project aims to predict whether an employee's income exceeds $50K per year based on demographic and work-related features. It includes a Streamlit web interface that allows users to input employee data and receive instant predictions.
The model is trained on the UCI Adult dataset and classifies whether an individual's income is <=50K or >50K. It leverages preprocessing, encoding, and a trained machine learning classifier to deliver accurate results.
- Streamlit-based interactive web app
- Input form for features like age, workclass, education, marital status, etc.
- Real-time prediction of income class
- Displays prediction result clearly to user
- Clean, simple UI for non-technical users
app/— Contains the Streamlit app (app.py)model/— Pickled model and column listnotebooks/- Jupyter notebooks for data analysis and modelingdata/— Example/test input filesassets/— Images or logos for documentation
pip install -r requirements.txt
streamlit run app/app.py