Revolutionizing Real Estate: AI-Driven Insights from Historical Data for Smart Property Decisions

Abstract

AI can empower the real estate sector to fundamentally transform property valuation, analyze market trends, and make investment decisions. In exploring this further, this paper will explore how the AI-driven insights drawn from historical data increase real estate operations' accuracy, consistency, and efficiency. This research adds in-depth insight into the prevailing trends in the real estate market by developing advanced analytical models, SARIMA for rental price forecasting, K-Means clustering for market segmentation, Principal Component Analysis for dimensionality reduction, and sentiment analysis for public perception. Analytics of these advanced technologies can enable more enlightened and strategic decision-making within the study of rental and listing price data. The findings underline the importance of data-driven strategies in helping to identify market opportunities, optimize one's pricing strategy, and increase the transparency and efficiency of markets to strengthen the industry as a whole further.