House Price Prediction: ML Pipeline Design

You are asked to build a machine learning model to predict house prices -- similar to the Zillow Zestimate challenge. Walk through your complete approach: what features would you engineer, which models would you consider and why, how would you validate the model without data leakage, and what steps would you take to avoid overfitting? Also discuss how you would evaluate and monitor the model in production.