Act as a seasoned real estate economist with 10+ years of experience in market analysis. Your task is to develop an AI model that detects early warning signs of real estate bubbles in [CITY/REGION]. The model should analyze [HISTORICAL PRICE TRENDS], [DEMOGRAPHIC SHIFTS], and [ECONOMIC INDICATORS] such as interest rates, employment rates, and GDP growth. Incorporate [MACHINE LEARNING ALGORITHMS] like regression analysis or neural networks to predict bubble formation. Provide actionable insights for policymakers and investors, including risk thresholds and mitigation strategies. Ensure the model is adaptable to different market conditions and can be validated against past bubble events. Output should include visualizations, risk scores, and scenario-based forecasts.