Real Estate Sniper

Enhance property search and analysis

Context

Real Estate Sniper is a cutting-edge solution designed to revolutionize the way properties are searched and evaluated. The system is capable of retrieving over 80 different features for each property in a given area, providing a detailed and accurate overview of the real estate market. By utilizing advanced machine learning algorithms, Real Estate Sniper offers deep and useful insights into each selected area, helping to identify undervalued properties and optimize investment decisions. With this tool, you can enhance your real estate search strategy, maximize the value of your choices, and identify opportunities that others might easily overlook. The system is designed to be both intuitive and powerful, supporting both real estate professionals and buyers looking for the best deals.

What we did on it...

The idea was born

The idea for Real Estate Sniper emerged from the need to improve precision and effectiveness in property evaluation by leveraging the power of data and machine learning.

Architecture development and project management

The team worked intensively to break down the project into key components, assigning specific tasks for data analysis, software engineering, and machine learning algorithm integration.

Development of backend infrastructure and user interface

The development team built a robust backend infrastructure to ensure efficient data processing and designed an intuitive, user-friendly frontend interface to facilitate access to information.

Testing and release

After successfully completing development, the system underwent rigorous testing to ensure accuracy and reliability, followed by public release.

Who on it...

Data ScientistMachine Learning EngineerUX/UI DesignerBackend Developer

THINKING APP SRL

Area legale & privacy

Via Roveredo, 20/B - c/o Polo Tecnologico Alto Adriatico Andrea Galvani, 33170 PORDENONE (PN) ITALY

R.E.A. PN-366363 Cap. Soc.: € 10.000 I.V

C.F. P.IVA - VAT NO: 01931260937

PEC: thinking-app@pecdigitale.it

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