Abstract: Real estate is not as transparent as other industries. It is difficult to predict the future price of houses due to the various factors that influence them. Houses regularly change in price and are hyped instead of being valued based on their valuation.
Predicting house prices can aid to find out the price of a house of specific region and will assist the people to get the right time to acquisition a home. This website will mainly help users to get the most precise house price of the relevant location with the assist of Machine Learning and AI Implementation, besides this website will be deployed in a cloud which makes accessibility of website to all kind of users all time. User can provide the needed features and get the most precise price of house in one click with no time.

Keywords: Flask, Heroku, Linear Regression algorithm, Lasso algorithm, Decision Tree algorithm, Bengaluru Dataset.

| DOI: 10.17148/IARJSET.2022.9118