ADVANCED AI-DRIVEN PREDICTIVE ANALYTICS FOR CUSTOMER BEHAVIOR FORECASTING IN REAL ESTATE MARKETS: AN INTEGRATED MACHINE LEARNING AND DEEP LEARNING APPROACH

The dynamic nature of real estate markets necessitates accurate customer behavior forecasting to inform stakeholder decisions.This paper presents an AI-driven predictive analytics framework that integrates machine learning and deep learning techniques to forecast customer behavior in real estate markets.By combining the strengths of both paradigms, our approach enhances forecasting accuracy and provides actionable insights for stakeholders.We evaluate our framework using a comprehensive dataset and demonstrate its superiority over traditional methods.Our findings have significant implications for real estate professionals, investors, and policymakers seeking to navigate complex market dynamics.