Creating fake data of 50 projects, with data based on the first four files, to show the possibility of creating a model for predicting project prices, which will be based on the company's 50 projects
After converting IFC, RVT files into JSON-CSV formats, we can create prediction models. In this example, we accepted that all the project data that are saved in one CSV file we can equate the price of the project. So having for example 50 typical projects with known price we can predict price of 51 projects - 4_1house_R.csv: with new set of parameters by parametric data in CSV file.
https://DataDrivenConstruction.io/
DataDrivenConstruction transferring information to another party without the need for external guarantors or trusted ‘third parties’, enabling data to be exchanged within 3D-7D systems and between construction parties directly, bypassing any third-party companies controlling data storage and transfer. DataDrivenConstruction allows to automate work with project data. In order to get automatic data from thousands of projects automatically, you need to build the pipeline once on the open tools.
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