Project information

Project titled: "Automated system for the development of land capacity analyses using genetic algorithms and machine learning for multi-family residential construction".

Co-financed by the European Union from the European Regional Development Fund under the Smart Growth Operational Programme, as part of the National Centre for Research and Development’s Fast Track competition (or Support for university consolidation processes, etc.).

The amount of funding is PLN 1,654,487.87.

The total value of the project is PLN 2,174,312.83.

The planned implementation period is from December 31, 2021 to December 31, 2023.

The objective of the project is to develop an automated system for land capacity analysis using genetic algorithms and machine learning, dedicated to multi-family residential construction.

The outcome of the project will be a new product featuring both product and process innovation—a system that automates the urban planning analysis process for land plot capacity. The tool will be integrated with Autodesk Revit, a software used for preparing documentation in BIM (Building Information Modelling) technology. The technological layer will incorporate genetic algorithms and machine learning.

The developed product will serve to carry out land capacity analysis, i.e. the design process in construction during which the basic parameters and positioning of a building are determined.

Project titled: "Improvement of ROARK Studio’s efficiency through the implementation of new information and communication technologies"

Co-financed by the European Union from the European Regional Development Fund under the Smart Growth Operational Programme, as part of the National Centre for Research and Development’s Fast Track competition (or Support for university consolidation processes, etc.).

The amount of funding is PLN 1,654,487.87.

The total value of the project is PLN 2,174,312.83.

The planned implementation period is from December 31, 2021 to December 31, 2023.

The objective of the project is to develop an automated system for land capacity analysis using genetic algorithms and machine learning, dedicated to multi-family residential construction.

The outcome of the project will be a new product featuring both product and process innovation—a system that automates the urban planning analysis process for land plot capacity. The tool will be integrated with Autodesk Revit, a software used for preparing documentation in BIM (Building Information Modelling) technology. The technological layer will incorporate genetic algorithms and machine learning.

The developed product will serve to carry out land capacity analysis, i.e. the design process in construction during which the basic parameters and positioning of a building are determined.