Real Estate Website

Abstract

This project aims to overcome the problems that causes reduction in sale of a real estate agency. Waking clients are reduced by the factor of 40% due to the online real estate portal mainly Zameen.com. People now a days used to search for desired property on these portals and make purchases. This factor clearly states that every real estate agency should has its own web application. Where they can post their properties for sale and rent. And often clients used to know the updated prices of their properties, sometimes agent response them immediately but sometimes they take time. To overcome this problem we will implement price prediction functionality, where client will enter some core details of plot/house/shop/apartment and the system will estimate the price at real time. This project will enhance the sales as clients across all over the world can see their desired property on agency’s website and can communicate with agent online with live chat facility. If clients want to save or add some properties to favorite then they will have to login into the website, if they do not have account then they can Register to the website by entering all required credentials or by signing up by Google. As a Data Scientist website needs robustness that’s why we will develop this in Django and will deploy it on HEROKU cloud