There are numerous 3D generators available in the market, but users must enter 2D floor plan information manually. There is currently no all-in-one 3D modelling solution. We aim to develop an AI engine using Python that can seamlessly generate a floor plan sizing database, perform 3D modelling and create furniture designs.
Stage 1: Develop an automatic residential sizing calculator via Python to build a Hong Kong floor plan database.
Stage 2: Convert 2D floor plans into 3D models using machine-learning algorithms. Users can download or print the 3D models directly. Transformations can be automated through deep learning.
Stage 3: Users edit and adjust models to produce furniture and design decorations.
Stage 4: Provide a fast and efficient way to design and manufacture furniture in 3D format through PC and mobile apps, which providing a platform for learning and research.
Cyber Interior Designbot
There are numerous 3D generators available in the market, but users must enter 2D floor plan information manually. There is currently no all-in-one 3D modelling solution. We aim to develop an AI engine using Python that can seamlessly generate a floor plan sizing database, perform 3D modelling and create furniture designs.
Stage 1: Develop an automatic residential sizing calculator via Python to build a Hong Kong floor plan database.
Stage 2: Convert 2D floor plans into 3D models using machine-learning algorithms. Users can download or print the 3D models directly. Transformations can be automated through deep learning.
Stage 3: Users edit and adjust models to produce furniture and design decorations.
Stage 4: Provide a fast and efficient way to design and manufacture furniture in 3D format through PC and mobile apps, which providing a platform for learning and research.
Team member(s)
Mr Yeung Chun-yin* (Alumnus, School of Continuing and Professional Education, Department of Electrical Engineering, City University of Hong Kong)
Mr Ting Ka-ki (Alumnus, Department of Electrical Engineering, City University of Hong Kong)
Mr Li Him-pok
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2023)