This innovation project focuses on developing an advanced generative AI-powered platform designed to visualize consumer preference data for interior design products through intuitive, dynamic preference maps and visualization tools. The aim is to simplify and enhance the process of product selection for both consumers and interior design professionals, significantly streamlining decision-making and procurement processes. The […]

This project involves updating and improving airline software for our largest customer. We are going to need computer programmers to assist with development of our applications specifically our booking and DCS (checking) applications.

Prompty is a 100% indigenous owned technology start-up located in Calgary, Alberta. This corporation combines modern technologies, gamification, and decades of experience within the conference and events industry to provide connectivity solutions that are authentic, enjoyable, sustainable, and secure. The objective of this project is to assist Prompty in establishing a trusted brand identity by […]

Project Respawn is focused on updating and improving Noodlecake’s older mobile games so they can continue to work on modern devices and app stores. Many of these games were made years ago using old technology, and without updates, they may stop working or be removed from stores. This project will help Noodlecake build tools and […]

Complex diseases like neurological disorders, rare pediatric conditions, chronic kidney diseases, sepsis, and complications from maxillofacial surgery are putting pressure on the global healthcare system. As the volume of medical data grows, ranging from imaging and physiological signals to electronic health records, there is an increasing need for more precise and personalized approaches to diagnosis […]

In supply-chain management, organizations rely on a wide variety of structured and semi-structured analytical resources such as task flows and key performance indicators (KPIs) to plan, monitor, and adapt to changes. These resources undergo frequent review and adaptation, often necessitating queries and manipulations in numerous ways. Utilizing Large Language Models (LLMs), this project aims to […]

A significant amount of fraudulent activity tends to go unreported in reality, one of the major focuses for our team recently has been to develop robust GNNs that can perform anomaly detection on noisily labeled graphs. Noisily labeled anomalous data can reduce the model performance as it learns incorrect patterns during training, cause the model […]

This project addresses the growing challenges associated with the increasing demand for Electric Vehicles (EVs) within the context of a global shift towards sustainable energy solutions. The surge in EV adoption, while beneficial for the environment, poses challenges on the energy grid due to frequent and high-powered charging, leading to more frequent peaks and potential […]

This project will be conducted in collaboration with Island Nature Trust (INT) to develop a user-friendly digital platform for volunteers in their Coastal Guardian and Conservation Guardian Programs. Currently, the organization faces an innovation challenge in coordinating and supporting a geographically dispersed network of volunteers, many of whom have limited technical experience. Also, existing processes […]

As populations age, many older adults face increasing difficulty moving safely and comfortably through their cities due to challenges such as limited walking endurance, steep slopes, poor lighting, and the need for regular rest. This project aims to improve pedestrian route planning by developing and comparing methods that generate routes adapted to older adults’ needs, […]

La définition d’un niveau de service réalisable pour les systèmes d’information contemporains est une activité complexe. L’utilisation d’architectures logicielles granulaires, comme celle de microservices, demande une analyse locale et globale des capacités de chaque composante d’un système informatique. L’analyse manuelle des profils opérationnels de ces composantes par un expert humain rencontre des limitations cognitives. En […]

This project develops an AI-powered clinical scribe designed specifically for mental-health therapists. Many therapists spend excessive time on documentation, often losing 5–10 hours per week to paperwork. Existing medical transcription tools are not built for psychotherapy and fail to meet privacy or workflow needs. Our project will create and test a privacy-first, therapist-friendly prototype that […]