Abstract:
Everyone want to live in his or her own home. For a human, a house is a magnificent
thing. Consider the case of a person in need of a home. As a result, he will look for a
property that he can purchase at a fair price. He will also be able to view the
characteristics that are appropriate for him. Similarly, in the case of a seller who wants to
sell his or her home, he may learn what sorts of features he can include and how to sell
his or her home for the highest possible profit.As a result, we may conclude that this
initiative benefits both the buyer and the seller. This project uses machine learning to
forecast the price of a property based on a variety of factors. The customers input
information about the property, and using machine learning, he may see the house price
and decide whether or not to buy it.
