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L2M-L6- Personalized Decision-Support AI Platform
The Dualchemy project proposes the development of a personalized decision-support platform to solve the information overload crisis in recruitment. It helps decision makers find high-quality candidates by empowering their judgment and applying their preferences to large candidate pools. By interacting directly with the decision maker, it bridges human expertise with the scalability of AI to identify the ideal candidate with mathematical precision and transparency. The core innovation is a preference elicitation approach that transforms the challenging task of screening thousands of candidates into a simple series of “A vs. B” choices. The primary objective of this project is to transition Dualchemy from a lab-validated prototype to a market-ready through a structured commercialization strategy.
Faculty Supervisor:
James Wright
Student:
Partner:
Innovate Calgary
Discipline:
Computer science
Sector:
Professional, scientific and technical services
University:
University of Alberta
Program:
Business Strategy Internship
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.