Prediction of House Price Using ML

This work seeks to develop a reliable method for predicting domestic values based on a number of market variables, including average income, square shot, number of bedrooms and other relevant characteristics. The technology estimates future real estate values using machine learning techniques, including XGBOOST and linear regression. Future prices. They also include more accurate price projections, variables including economic growth, unemployment rate and mortgage availability. The finished model has an intuitive interface that helps users to choose the properties according to their tastes and the expenditure limit, streamlining and improving the process of buying a house.