Solutions

We were able to integrate the new, requested features into the existing code by using Python as well as AngularJS and Stylus frameworks.

To tackle the goal of making a responsive, user-friendly interface, the QArea team rebuilt the applications front-end completely from scratch. Our team implemented the required redesign following the clients Figma mockups. The app’s performance was improved by simplifying the interface and leaving only the most needed functionality.

The app’s backend was also changed. We personalized Google Maps API with custom bundles, clusters, and pop-overs so that users could find the properties easier. With the help of a neural network, we managed to create a filter that analyzes and estimates property prices according to the given information such as location, floor, the number of rooms, elevator and balcony availability, etc. The algorithm eliminates the possibility of fraud, which allows this app to stand out from the number of already existing aggregators that pull up real estate’s prices from other web resources instead of generating and outputting real numbers.