Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Automated Digital Asset Wallet Tracking & Visualization

This project will create a dashboard for the automatic tracking of digital asset investments. By using data directly from the blockchain, this dashboard will be more accurate and comprehensive than existing solutions. Further, much of this work is currently being done manually and using spreadsheets by the partner, with this dashboard the expect to 3x their efficiency in this area.
A dashboard that assists with tracking digital asset investments is an important tool to bring greater transparency and risk management to the digital asset space, enabling the partner to not only be more productive but also more valuable to customers and partners in the digital asset landscape and beyond.

Voir la description complète du projet
Superviseur du corps professoral :

Amir Eaman

Étudiant :

Partenaire :

Hermetik Trading Technologies Inc.

Discipline :

Computer science

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

Acadia University

Programme :

Business Strategy Internship

A needs assessment to identify gaps and opportunities for patient navigation programs for youth/young adults with mental health and/or addiction concerns in New Brunswick

The research team at the Centre for Research in Integrated Care (CRIC), at the University of New Brunswick, will be
partnering with the research team at New Brunswick Social Pediatrics (NBSP). The main objective of this project is to
inform the development and implementation of a patient navigation program in New Brunswick for youth/young adults
with mental health and addiction concerns, their informal caregivers, and members of the care team. It will also
provide stakeholders with evidence, information, and practical resources to adapt patient navigation for this
population.

Voir la description complète du projet
Superviseur du corps professoral :

Shelley Doucet

Étudiant :

Partenaire :

New Brunswick Social Pediatrics

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of New Brunswick

Programme :

Business Strategy Internship

Cross-Cultural wisdom: Mapping wise strategies for life’s major decisions

This project explores how people from different cultures make important life decisions, such as career choices or relationships. It focuses on understanding how cultural norms, social values, and religious beliefs influence decision-making. The research will use advanced text analysis (Natural Language Processing) and surveys to identify patterns in how people from different backgrounds approach decisions. The results will help create more culturally sensitive strategies for education, international relations, and policymaking. This collaboration benefits participating institutions by strengthening cross-cultural research, fostering international academic exchange, and advancing innovative research methods in decision-making studies.

Voir la description complète du projet
Superviseur du corps professoral :

Igor Grossmann

Étudiant :

Partenaire :

Taras Shevchenko National University of Kyiv

Discipline :

Sociology

Secteur :

Life Sciences (not health)

Université :

University of Waterloo

Programme :

Globalink Research Award

A needs assessment to identify gaps and opportunities for patient navigation programs for youth/young adults with mental health and/or addiction concerns in New Brunswick

The research team at the Centre for Research in Integrated Care (CRIC), at the University of New Brunswick, will be partnering with the research team at New Brunswick Social Pediatrics (NBSP). The main objective of this project is to inform the development and implementation of a patient navigation program in New Brunswick for youth/young adults with mental health and addiction concerns, their informal caregivers, and members of the care team. It will also provide stakeholders with evidence, information, and practical resources to adapt patient navigation for this population.

Voir la description complète du projet
Superviseur du corps professoral :

Shelley Doucet

Étudiant :

Partenaire :

New Brunswick Social Pediatrics

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of New Brunswick

Programme :

Business Strategy Internship

Valoriser les connaissances récoltées dans le cadre de la production d’une émission médiatique à grande écoute

HINT est spécialisée dans la création de contenu pertinent. Nous supportons les organisations en leur permettant d’exploiter le plein potentiel de leurs données et de leurs expertises pour créer du contenu personnalisé, pertinent et approfondi. Elle développe des outils de gestion de connaissances et de création de contenu dans le but de permettre aux organisations de créer du contenu pertinent et adapté à leurs besoins.

Grâce à son expertise en traitement du langage naturel (NLP), avec des outils comme NLTK, SpaCy, ou des frameworks comme transformers, le stagiaire sera au cœur de l’avancement de notre mission en travaillant sur l’analyse des besoins d’un client stratégique et en contribuant au développement de notre moteur de recherche intelligent dans le cadre d’un projet avec un média d’envergure.

Le travail réalisé permettra à HINT d’acquérir de l’intelligence de données et de l’intelligence d’affaires lui donnant un avantage concurrentiel notable pour le développement de son moteur de recherche. Plus précisément, le stagiaire travaillera sur la cartographie et l’analyse des processus de création des données compris dans des dossiers de recherche journalistique, la mise en place d’un processus optimisé de création des données et de leur dissémination responsable ainsi que de fournir des recommandations pour la création ultérieure d’un moteur de recherche d’information performant rendu performant grâce à l’IA.

Voir la description complète du projet
Superviseur du corps professoral :

Quentin Cappart

Étudiant :

Partenaire :

HINT

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Business Strategy Internship

Revolutionizing Real Estate Advertising with AI: An Automated Ad Creation System for Realtors

Our project aims to revolutionize real estate marketing with an innovative AI-driven advertising system that automates the creation and optimization of digital campaigns for realtors. Tailored for real estate teams and brokerages, the system leverages BASL’s extensive market insights and performance data to generate personalized ad content. With a user-friendly interface, team leads can prompt the AI to develop targeted ad copy and creative assets that resonate with local market demands. The platform continuously learns from campaign outcomes to refine future advertising strategies, ensuring higher engagement and conversion rates.

Voir la description complète du projet
Superviseur du corps professoral :

Krislynn McKinlay

Étudiant :

Partenaire :

BASL Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Mohawk College of Applied Arts and Technology

Programme :

Business Strategy Internship

BSI – Ultra-Resolution Multi-Projection Image Processing & Calibration Development Project

To research, develop and innovative upon existing and new image processing & calibration software for an ultra-resolution (up to 100MPx) multi-projection digital display. The solution is to be made to be distributable for embedding into custom in-line FPGA hardware to further enable high-speed parallel processing and eliminate bottlenecks in data communication.

Voir la description complète du projet
Superviseur du corps professoral :

Jun Chen

Étudiant :

Partenaire :

AVT Solutions Ltd

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

McMaster University

Programme :

Business Strategy Internship

Immunization Barriers Among Newcomers

The Hospital for Sick Children (SickKids) is the largest paediatric hospital in Canada, and partners both locally and globally to improve the health of children through the integration of care, education, community advocacy, and patient/family partnerships. As a cornerstone of the work of the Division of Infectious Diseases, immunization is one of the most important tools used by healthcare professionals to support healthy childhood. However, there are populations of children that face barriers to immunization access, education, and awareness. For example, newcomers to Canada face systemic barriers that make immunization and engagement with the healthcare system difficult. This project seeks to understand the extent of these barriers as they relate to requirements for international vaccine records to be translated and assessed in order to allow children in Ontario to attend school. The intern will co-lead focus groups and/or interviews with newcomer families to identify how these issues can be addressed effectively and appropriately within SickKids hospital and external health care settings. In addition to understanding barriers, this project also seeks to increase awareness and use of the SickKids Immunization InfoLine, a free phone consultation service run by SickKids to provide high-quality information and guidance on immunizations directly to the Ontario public to increase immunization confidence and knowledge.

Voir la description complète du projet
Superviseur du corps professoral :

Suzanne Jackson

Étudiant :

Partenaire :

The Hospital for Sick Children

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Public administration

Université :

University of Toronto

Programme :

Business Strategy Internship

L2M_Business Strategy for CELLECT’s Research and Commercialization

Despite advancements in women’s health diagnostics, cervical cancer screening rates remain critically low due to the invasive nature of traditional collection methods like Pap smears and self-swabs. CELLECT is pioneering a non-invasive, nanotechnology-enabled collection device—the CELLECTPad—that passively captures high-quality cervical and epithelial cells during menstruation. By removing the discomfort and accessibility barriers of existing methods, CELLECT aims to transform the landscape of gynecological screening and reproductive health research.

Voir la description complète du projet
Superviseur du corps professoral :

Marc Aucoin

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Engineering

Secteur :

Nanotechnology; Biotechnology

Université :

University of Waterloo

Programme :

Business Strategy Internship

Agent conversationnel d’intelligence artificielle de sources de littérature scientifique en santé mentale

Le projet consiste à développer un agent conversationnel intelligent, c’est-à-dire un assistant virtuel capable de répondre aux questions en utilisant des informations scientifiques fiables. Contrairement aux outils classiques de recherche sur Internet, cet agent est conçu pour fournir des réponses basées uniquement sur des données validées par des experts et provenant de sources reconnues en santé mentale. Ce projet vise à résoudre un problème majeur : la surcharge d’informations souvent contradictoires ou non vérifiées disponibles en ligne sur la santé mentale. En filtrant les données pour ne conserver que les plus pertinentes et crédibles, l’agent aide les utilisateurs à prendre des décisions éclairées, qu’il s’agisse de comprendre un diagnostic, de choisir une stratégie de traitement ou de mener une recherche académique.

Voir la description complète du projet
Superviseur du corps professoral :

Omair Ahmad;M.N.S. Swamy

Étudiant :

Partenaire :

Flow

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

Concordia University

Programme :

Business Strategy Internship

Safety constrained learning for industrial manipulators

1)
Ocado group builds the Ocado Smart Platform, an end-to-end ecommerce, fulfilment, and logistics solution for smart online grocery businesses. This team develops cutting edge technologies across robotics, artificial intelligence, machine learning, and data science to support various stages of warehouse automation and logistics. Each application requires robots with specific capabilities tailored to different tasks.
2)
Behaviour cloning, imitation learning and reinforcement learning are growing in popularity for learning behaviours that generalize across tasks, but deploying these methods on industrial robots presents unique safety challenges. This project aims to identify, discover and develop robust methods for training that ensure safe operation of industrial robots performing pick and place tasks.
3)
For Ocado, this means increased efficiency and safety in their warehouses. This in turn improves the speed, efficiency, and reliability of the grocery distribution industry. Ocado will provide the robots, simulation software, task definition, and guidance to support this project.

Voir la description complète du projet
Superviseur du corps professoral :

Beno Benhabib

Étudiant :

Partenaire :

Ocado Technology

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Building a Scalable Data Platform Infrastructure for Smart Fleet and Urban Analytics

Geotab creates hardware that it installs into customer vehicles. Telematic and video data from this hardware is collected and aggregated by its data platform where it can be used for analysis and machine learning endeavours to provide insights to
customers. Large volumes of data are generated and must be ingested efficiently and accurately as well streamed to customers in real time. The data, in particular video data, must also be stored in an efficient manner. Lastly the platform needs to be scalable as the quantity of data continues to increase. The data platform currently has methods to handle these needs, but Geotab is a rapidly growing company. New techniques are needed to ensure the data platform remains performant and reliable.
Successful research will benefit Geotab by allowing it to further expand its operations while ensuring low latency, low cost, and reliability. Society as whole will benefit due to Geotab’s software allowing its customers to manage their fleets of vehicles more
efficiently, safely, and sustainably.

Voir la description complète du projet
Superviseur du corps professoral :

Eyal de Lara;Qizhen Zhang

Étudiant :

Partenaire :

Geotab Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services; Transportation and warehousing

Université :

University of Toronto

Programme :

Accelerate