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Floor plans Generation: Using deep learning to improve functional output
Maket is developing a generative pipeline for schematic floor plan creation that can adapt to various user-defined constraints and preferences. Maket plans to improve the functional output of the platform by using a machine learning approach that can produce floor plans representing the diversity and quality of those in the real world, while respecting the specific constraints and preferences defined by the user.
This could save AEC professionals significant time while improving building design quality and sustainability.
Faculty Supervisor:
Christopher Pal;Xue (Steve) Liu
Student:
Partner:
Maket technologies inc.
Discipline:
Sociology
Sector:
Professional, scientific and technical services
University:
McGill University; Polytechnique Montréal
Program:
Accelerate
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