shyamsundar-v3/HR-Attrition-Prediction — reverse-engineered prompt

Build me a simple HR attrition prediction web app. I want an HR person to open the app, enter employee details like age, gender, job role, education, monthly income, overtime, job satisfaction, environment satisfaction, stock option level, and similar IBM HR dataset fields, then get a clear prediction showing whether the employee is likely to leave or stay, with a probability score.

Use Python and Streamlit for the app. Train a machine learning model on the IBM HR Analytics Employee Attrition and Performance dataset, using a Random Forest model with tuning, then save the trained pipeline so the app can load it for predictions. Keep the interface clean and easy to understand, not too technical.

Please organize the project so it can run locally with requirements installed, retrain the model if needed, and launch with Streamlit. Add a short README explaining how to set it up and use it. Look up current docs online if you need to.