Real Estate Search Based On Machine Learning

Real estate search based on machine learning

Abstract:

The real estate market is exposed to many fluctuations in prices because of existing correlations with many variables, some of which cannot be controlled or might even be unknown. Housing prices can increase rapidly (or in some cases, also drop very fast), yet the numerous listings available online where houses are sold or rented are not likely to be updated that often. We aim at developing a machine learning application that identifies opportunities in the real estate market in real time, i.e., houses that are listed with a price substantially below the market price. This program can be useful for investors interested in the housing market. The main objective of the project is to develop an algorithm that will be used to identify the market land prices based on the location so that investors will find it easy to invest on the property or land. Investors or land investors or Real Estate owners can raise any kind of question regarding this. The answer will be automatically updated. And the price range modification will also be updated automatically.