This project focuses on visualizing and predicting USA property prices using interactive maps, machine learning, and natural language processing. It integrates state-level and ZIP code-level visualizations with multi-dimensional plots, providing insights into property price trends. Key innovations include data reduction for scalability, predictive models for price forecasting, and GPT-4o for summarizing complex visualizations into natural language. The project aims to enhance accessibility and decision-making for buyers, sellers, and investors by making real estate data more understandable and actionable. 