A large construction company wanted to know if it was possible to predict prices of new construction projects. Currently, this is a lot of manual work that also involves external brokers.
By analyzing large amounts of new houses and existing housing projects using machine learning, we have created an application that automates this work.
Pricing of houses hugely differ from different neighborhood, even if they are comparable. Sometimes the street even makes a difference. It works best on cities because there is simply more data.