Grant: CCI Applied Research and Development Grants
Saskatchewan Polytechnic
$150,000.00
Generative AI to Facilitate Rapid Interior Design Interfaces
FY 2024-25
Summary
Digital Integration Centre of Excellence Technology Access Centre (DICE) at Saskatchewan Polytechnic (Sask Polytech) and Metric Design (Metric) will collaborate on the research and development of a recommender system for interior design. This recommender system will enable the gathering of data that can then be used to help apply generative AI to the interior design platform. Metric offers Residential & Commercial Interior Design and Renovations services. The purpose of this project is to develop an AI-based recommender system to facilitate and accelerate the process of utilizing generative AI. This will result in Metric being able to expand their design offering across Canada in a virtual platform, thus making interior design achievable and more cost-efficient for customers.
Program
CCI Applied Research and Development Grants
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CCARD-2023-00791
Name nom
Coupal, Cyril
Department département
Digital Integration Centre of Excellence Technology Access Centre (DICE-TAC) - Saskatchewan Polytechnic
Organization id
44957
Institution établissement
Saskatchewan Polytechnic
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
150000
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
nan
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1020104
Field of research list names en
Machine learning
Field of research list names fr
Apprentissage machine
Socioeconomic objective list codes
RDS10610
Socioeconomic objective list names en
Information systems, technologies and services
Socioeconomic objective list names fr
Systèmes, technologies et services d'information
Application title
Generative AI to Facilitate Rapid Interior Design Interfaces
Keywords
AI; machine learning; interior design; recommender system; generative AI
Application summary
Digital Integration Centre of Excellence Technology Access Centre (DICE) at Saskatchewan Polytechnic (Sask Polytech) and Metric Design (Metric) will collaborate on the research and development of a recommender system for interior design. This recommender system will enable the gathering of data that can then be used to help apply generative AI to the interior design platform. Metric offers Residential & Commercial Interior Design and Renovations services. The purpose of this project is to develop an AI-based recommender system to facilitate and accelerate the process of utilizing generative AI. This will result in Metric being able to expand their design offering across Canada in a virtual platform, thus making interior design achievable and more cost-efficient for customers.
