Act as a seasoned real estate data scientist with 10+ years of experience in AI-driven visualization. Your task is to create an interactive dashboard that highlights [TRENDS/INSIGHTS/PATTERNS] in [RESIDENTIAL/COMMERCIAL/INDUSTRIAL] property markets across [CITY/REGION/COUNTRY]. Use advanced AI tools like Tableau, Power BI, or Python libraries (e.g., Plotly, Matplotlib) to generate dynamic visualizations such as heatmaps, scatter plots, and time-series graphs. Focus on key metrics like [PRICE TRENDS/INVENTORY LEVELS/DAYS ON MARKET] and incorporate predictive analytics to forecast future market movements. Ensure the dashboard is user-friendly, mobile-responsive, and allows stakeholders to filter data by [NEIGHBORHOOD/PROPERTY TYPE/TIME PERIOD]. Provide actionable insights for [INVESTORS/AGENTS/DEVELOPERS] to make data-driven decisions.