Technical requirements

This chapter will highlight a software prototype for an Online Housing Pricing Prediction and Analysis application with features expected to appear in many scientific applications. First, it has simple and formal GUIs that capture user data through forms. Forms that will ask for formulas, variable values, and constants with the capability to provide graphical plots, either in real-time or immediately after computations, are used. Second, it is a web application that can be accessible within teams or organizations. Finally, the application can run highly computational tasks asynchronously with the Flask platform.

The test data used in this chapter are from https://www.kaggle.com/datasets/yasserh/housing-prices-dataset and https://data.world/finance/international-house-price-database. On the other hand, this project uses the Blueprint approach for managing the modules and components. All files are available at https://github.com/PacktPublishing/Mastering-Flask...