A Study on the Forecasting of Real Estate Market Using Algorithms

Abstract

Technology using algorithms has an impact on various aspects of the real estate market, such as real estate market price prediction, investment recommendation, and rent setting. First, it was confirmed that by improving the accuracy of real estate price prediction, real estate market price prediction using AI algorithm can derive more accurate results through machine learning and deep learning technologies based on past data. In addition, it is the development of an investment recommendation system. The investment recommendation system using AI can promote efficient fund management by discovering promising investment opportunities in the real estate market and proposing them to investors. The next is the optimization of lease on a deposit basis, monthly rent, and rent setting. The rent setting model using AI technology can set the rent appropriately through negotiations between real estate owners and tenants in consideration of market trends, demand, and predictions by region. Finally, it is the automation and efficiency of the real estate transaction process system. Smart contracts and automation systems using AI can save money and time between transaction parties by simplifying and streamlining the real estate transaction process. However, problems with data security and privacy protection are emerging as new challenges. New security and privacy problems arise in dealing with personal information, transactions, and data, and appropriate responses to them are urgent.