1. Le Service d’interprétation visuelle et tactile (SIVET) offre un service d’interprétation en milieu sociocommunautaire : langue des signes québécoise (LSQ), pidgin, oral support de signes, LSQ tactile (pour les personnes sourdes-aveugles). D’ailleurs, le SIVET est le plus important des quatre services régionaux d’interprétation au Québec et, malgré ses 80 interprètes, refuse en moyenne 120 […]

Draft & Goal (D&G) is a Canadian artificial intelligence (AI) company developing a no-code platform that automates marketing workflows using AI agents for writing, search engine optimization, and fact-checking. The integration of large language models (LLMs) is central to their software solution: it allows non-technical users to harness advanced AI for content creation. However, unlike […]

This project focuses on three tasks: 1. Develop a compact descriptor for 3D Gaussian splats to enable robust registration between partial sub-maps. Inspired by prior learned descriptors, the method will encode local Gaussian parameters for fast matching under noise and partial overlap. 2. Extend existing multi-agent Gaussian SLAM system into a decentralized framework where each […]

LensX: Empowering Independence for the Blind through AI Wearable Smart Glasses LensX is an AI-powered assistive technology designed to support blind and low-vision individuals in navigating the world more independently. The project uses a combination of real-time computer vision and voice-based AI to help users identify their surroundings, read text, recognize objects, and receive auditory […]

Ce projet vise à aider les petites et moyennes entreprises (PME) à mieux comprendre et améliorer leurs pratiques de développement durable. Pour cela, nous allons créer une application web interactive qui permet aux entreprises de répondre oralement à un questionnaire. Grâce à l’intelligence artificielle, les réponses seront automatiquement analysées et résumées. L’application pourra ensuite proposer […]

The McKenna Institute and ContactNB are collaborating on an initiative to promote AI adoption and responsible use within New Brunswick’s contact centre industry, aiming to enhance productivity, competitiveness, and sustainability by supporting SMEs with AI integration, workforce training, academic collaboration, and attracting investment in the business services sector.

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 […]