Real-Time Property Valuation Machine Learning Pipeline

Design a TensorFlow.js machine learning pipeline that dynamically predicts property valuations using multiple regression techniques. The model must ingest geospatial data, neighborhood demographics, recent sale comps, and structural property characteristics. Create a modular architecture that allows real-time retraining with new market data, implements cross-validation, and generates confidence interval predictions. Develop a React frontend that visualizes prediction confidence and highlights key feature importance in valuation calculations.