Searching for property online has usually not been a good experience either for buyers or sellers. In the past, the real estate portals have merely provided information about the price, location and features of the available properties. But there has been no more information about the neighbourhood that a buyer can find online to help him/her decide to at least short list the said property. The only parameter available for a buyer is the price, and perhaps the builder details.

housing-property-app has tried to fill this information gap by providing a user with not only information related to the property but also with trends which cannot be found elsewhere. In addition the features provided by simplify the search rather than presenting all the available options, confusing  a buyer even further.

When created its app on the Android platform, it did not transfer all its features to the app. The objective was to simplify the interface and avoid clutter. The app was given a simple design format which would make it easy to use and provide a user with only the vital information on the move. Any other information could be looked up online.

Data Driven Information

 It is a well known fact that does not seek information from stakeholders in the property market. For example you can click here for flats in Gurgaon will not be approached to seek his views on the property market. After all, most information that he would provide would go in favour of his own projects. instead chooses to rely on data and mathematics. The Data Science Lab constantly works to find ways to assess this data for new information. The end results are mathematically driven!

It is this data driven information that is available on the Android app. This information holds true for all territories- whether a buyer is looking for flats in Gurgaon or plots in Chennai. The app allows a buyer to search not by typing information but by selecting it from the available options. So all that is needed is simple tapping and one can view the search results in a desired city; in a desired locality.

Map View and Life Style Index

 The map view of the Android app uses the same algorithms to offer a cluster “cue ball” view of properties from a high zoom level. Zooming in segregates individual properties for independent view. This allows a user to focus on a particular area at one time rather than being confused about where to search. The search area can also be modified by dragging the centre or changing the radius.

Once a buyer has scanned a property and the surrounding neighbourhood, he/she can tap the property to obtain the specs screen.  Here all details of the property along with amenities are given. The interesting feature here is a composite score about the property quality listed on the top right, just below the photographs.

This score is not people driven. It is a mathematical result identified by the location, neighbourhood and other major amenities in the vicinity of the property in question. This score indicates the quality of urban lifestyle associated with the property and hence is called the ‘Life Style Index’. It is a local feature and a reliable number to help a buyer deciding on to short listing a property or not.

In Conclusion

The data driven information provided on app is what makes it a reliable component in property search.