Abstract: People looking to buy a new home tend to be more conservative with their budgets and market strategies. The existing system involves calculation of house prices without the necessary prediction about future market trends and price increase. Aim of this project was to develop a real estate web application using Microsoft ASP .NET and SQL 2008.The real estate system Give the functionality for buyers, allowing them to search for houses by features or address. It provides functionality for the seller, authorize them to log into the system and add new advertisements or delete existing ones. For this each user is provided a login account with login ID and password. Along with this, when the user will search for the property, original property value and predicted property value will be displayed. By analysing previous market trends and price ranges, and also upcoming developments future prices will be predicted. For the price prediction we will be using classification algorithm .The functioning of this project involves a website which accepts customerís specifications and then uses the application of data mining. This application will help customers to invest in an estate without approaching an agent. It also decreases the risk involved in the transaction. The property, original property value and predicted property value will be displayed. By analysing previous market trends and price ranges, and also upcoming developments future prices will be predicted. For the price prediction we will be using classification algorithm. The functioning of this project involves a website which accepts customerís specifications and then uses the application of data mining. This application will help customers to invest in an estate without approaching an agent. It also decreases the risk involved in the transaction.

Keywords: House prices; real estate price; classification algorithm; price prediction; data mining; market trends