In recent years, the African real estate market has blossomed and was ranked to be the most attractive region worldwide for investments in real estate. Said that, people are actively looking for better investments and also interestingly in search for a way in which will help them take their decision wisely and quickly.
The client required an application that allows its users to view the list of available rental and sale of real estates and properties. One of the key concerns of sellers is inability to estimate prices for theLearn about our game-changing AI solutions and strategies used to empower businesses. Our team is made up of brilliant AI Engineers, Data scientists and Analysts who knows every step of creating the right intelligence for any business needs. Talk to our experts! properties thus losing out huge potential of clients by not pricing according to the on-going housing market rates in the economy. Hence, therefore one of the core features of the application is the machine learning model used to predict the best price for that property using certain factors. In this way the seller is aware of what the market price is and how much he/she expects. In addition the client wanted to integrate the app with NoSQL RavenDB database for processing the data securely and quickly.
We developed a cross platform hybrid mobile app that is compatible across multiple devices and platforms viz. Android, iOS & Windows phones and tablets with a complex yet efficient system architecture. The application was also upgraded to make it responsive for better interface on mobile devices and smaller display screens. Our intelligent application uses Advanced Machine learning in order to predict the price of a property. Users are then able to compare the price predicted by our system and their own price and then choose which one to publish. This application uses a wide variety of public-record data— including tax assessments, sales transactions, images of homes, MLS listing data, and other information provided by homeowners—as inputs to its price estimation algorithm.
This application can help millions of users to find a property that matches their budget and a place to live as they desire. And also a profitable platform for those who are selling their property. The application allows the available properties to be displayed as a pin in the Google maps for ease of location. All this makes it possible for the interested users to narrow down their search for properties. One of the interesting features of this app is Augmented Reality takes the users through a virtual tour of the properties over the iPhone screen (exclusively made available for IOS only) With the integration of the Machine learning the application also allows users to predict the value of the property and then help users decide on the price at which they can sell the property. Also as the users are registered with it is easier for the seller to reach the customer and also target them.