This project aims to help International Game Technology (IGT), a global leader in gaming, better understand what makes their Video Lottery Terminal (VLT) games successful. Currently, IGT finds it hard to link specific game features (like bonus rounds or themes) to how well a game performs or how long players stay engaged. This project will […]

Many nonprofit organizations struggle to create compelling stories that inspire people to donate. This project aims to develop an AI-powered assistant that helps nonprofits improve their fundraising campaigns by using more empathetic and emotionally engaging language. Since people are more likely to donate when they feel a personal connection to a cause, this tool will […]

Gigsup, a career matching service, plans to improve how job opportunities are suggested using artificial intelligence. The project will be carried out by interns who will work on a new system that uses up-to-date job market data. This system will compare a person’s skills, work style, and values with current job openings to offer better […]

EBSCO improves the dissemination of high-quality, clinically relevant content to healthcare providers through DynaMed, their online clinical textbook that is constantly being updated as new research is published. This process includes many experts and has many steps. McMaster University’s Health Information Research Unit’s (HiRU) literature surveillance program filters medical research studies and passes them to […]

Levis Tech is a custom software company based in Saskatoon that builds web applications for food banks, nonprofits, and eCommerce businesses. This project will bring on a Quality Assurance (QA) Tester to help improve how the company tests its software. Right now, testing is done manually by one of the partners, which slows things down. […]

In this project, we are working on a large repository of historical homicide case files, which is majorly unstructured text. We are building a framework for knowledge graph extraction with the help of existing information extraction models further augmented and made robust with the help of existing state-of-the-art publicly available LLMs’ zero/few shot capabilities. We […]

MealLens Inc. is developing an AI-driven meal-planning solution designed to help users efficiently manage food ingredients and optimize meal preparation. This project focuses on enhancing the system’s ability to recognize and process ingredient information while improving overall accuracy, user experience, and scalability. The expected outcome is a more intelligent and adaptable platform that will contribute […]

Alentic Microscience Inc has developed a highly portable device that performs complete blood counts and other in vitro diagnostic tests based on the lensless microscopic imaging of blood and reagents. The system uses proprietary sampling techniques and unique analysis software based on advanced machine learning techniques. The software has been designed as a multistep process […]

With recent advancements in Large Language Models (LLMs) designed for coding, Artificial Intelligence for Software Engineering (AI4SE) remains pivotal in enhancing both developer productivity and software quality. However, to excel at more specialized SE tasks like code transformation, companies still need to optimize LLMs to their specific context to avoid LLMs’ tendency to “hallucinate”, i.e., […]

The partner organization, AlayaCare being a provider of cloud-based home healthcare software services, will allow us to have access to real-world data as well as field realities for home health care services planning. The responses from the patients as well as the caregivers used to build the behavioral models (discrete choice models) will be obtained […]

Le projet s’inscrit dans le cadre d’une thèse qui vise à étudier la faisabilité de l’autoproduction et de l’autoconsommation électrique d’une communauté (un “social solar club”) et évitant au maximum les pics de consommation qui dépassent la capacité de production de la communauté. En France, un système mis en place par le distributeur national (EDF) […]

Les problèmes de santé mentale (anxiété, dépression, etc.) touchent aujourd’hui plus de 650 millions de personnes à travers le monde. Les premiers symptômes apparaissent habituellement entre 14 et 24 ans. Bien que les solutions humaines et technologiques existent, il est difficile de trouver la bonne solution au bon moment. Le projet est de proposer un […]