Projets novateurs réalisés

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

31 132 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

L2M Launch – Commercialization of Natural Polymer-Based Wound Dressings

In collaboration with the Lab2Market Launch program, our goal is to transition our natural polymer-based wound dressing from the lab bench to commercial scale. Designed specifically for individuals with chronic wounds and fragile skin conditions, our hydrogel-based dressing aims to fill a critical gap in the market. Through the program, we seek to
deepen our understanding of the market landscape by interviewing potential clients, including healthcare professionals and patients. Their feedback will be invaluable in refining our product to better meet user needs.
Additionally, the L2M program provides an opportunity to connect with industry experts who have successfully brought similar technologies to market. We will also gain insights from regulatory specialists on securing government clearance and protecting our intellectual property.

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Superviseur du corps professoral :

Todd Hoare

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McMaster University

Programme :

Business Strategy Internship

L2M – Miniature EEG BCI with Wireless Power Charging

L2M – Miniature EEG BCI with Wireless Power Charging Proposal

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Superviseur du corps professoral :

Yankai Cao

Étudiant :

Partenaire :

I-INC

Discipline :

Engineering

Secteur :

Biotechnology

Université :

The University of British Columbia

Programme :

Business Strategy Internship

L2M – Low-carbon modular concrete buildings

Housing shortage is one of the most serious societal issues that Canada is dealing with. On the other hand, the shrinking number of workforce is expected to increase the construction duration and cost of the new project. Furthermore, the influence of climate change in the form of wildfires and hurricanes threatens the conventional methods of construction. As such, the current project sets out to understand the market pull for a new mode and material of construction, i.e., low-carbon pre-cast and modular concrete structures. The factory-built structures are expected to increase the construction speed and enhance the quality of construction. The concrete product that are designed to use the minimal amount of cement and develop strength by capturing CO2 will benefit from climate resiliency and reduced environmental impact.

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Superviseur du corps professoral :

Sumi Siddiqua

Étudiant :

Partenaire :

I-INC

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia - Okanagan

Programme :

Business Strategy Internship

L2M ScaleUp

ScaleUp is a marketing tool that uses AI to help small businesses plan, create, schedule, and measure social posts in one place. This project will test ScaleUp with real firms, learn which features matter most, and shape an easy, affordable package. The intern will run interviews and small pilots, compare results before/after use, and report clear time savings and better engagement. The partner organization benefits from a validated go-to-market plan (target users, pricing, onboarding), a pipeline of early adopters, and practical evidence of productivity gains. The outcome is a ready-to-launch product with a simple dashboard, human-in-the-loop approvals, and “bring-your-own-API-keys” for data control.

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Superviseur du corps professoral :

Mitsu Feng

Étudiant :

Partenaire :

I-INC

Discipline :

Business

Secteur :

Artificial Intelligence; Technology; New and Digital Media

Université :

Thompson Rivers University

Programme :

Business Strategy Internship

L2M Validate / Qc Winter 2026 / Smooth Detector: Combating Fake News in the Society with AI

The Smooth Detector project addresses the urgent problem of multimodal misinformation, fake news that combines misleading text and manipulated images, which spreads rapidly across social media and overwhelms small news organizations, fact-checkers, and public health agencies that lack the resources to combat it effectively. Smooth Detector analyzes posts across multiple formats simultaneously, identifying subtle inconsistencies that reveal forgeries, such as persuasive text paired with mismatched images. Unlike existing tools that provide simple yes/no answers, Smooth Detector returns confidence scores that help users prioritize which content needs urgent human review and which can be safely published or automatically flagged. The system is designed to be affordable and easy to use, delivered as a simple plugin for WordPress and Drupal websites or as a cloud-based API, making advanced detection accessible to community newsrooms, independent bloggers, and regional health communicators who currently have no practical defense against sophisticated misinformation. This MITACS internship will accelerate commercialization by executing customer pilots with 3-5 partner organizations, building the technical integrations (plugins and dashboards) that non-technical users need, collecting real-world performance data to validate detection accuracy and time savings, and developing the business materials required for market entry and investor fundraising. The expected benefit to Smooth Detector is a validated, market-ready product with proven customer demand, deployed infrastructure, documented impact through case studies, and strategic partnerships that position us to scale across Canada’s 7,000+ community news outlets and 600+ million blogs worldwide. This directly supports our mission to democratize misinformation defense and protect public trust in critical information sources.

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Superviseur du corps professoral :

Nizar Bouguila

Étudiant :

Partenaire :

V1 Studio

Discipline :

Computer science

Secteur :

Education

Université :

Concordia University

Programme :

Business Strategy Internship

Noninvasive tumor genotyping for cancer detection

Non-small cell lung cancer is one of the leading causes of cancer-related deaths, mainly because relapses are often detected too late. This research project aims to validate an innovative method to monitor patients after treatment by detecting tiny traces of tumor DNA circulating in the blood. Using a highly sensitive genome sequencing approach, it will be possible to identify a recurrence of the disease much earlier than with current imaging techniques. For the Institut du cancer de Montréal and its partners, the expected benefits are significant: providing doctors with a reliable tool to adjust treatments more quickly, reducing the need for costly follow-up exams, and improving both quality of life and survival for patients. For the public, this means access to more effective care, less stress and uncertainty during medical follow-ups, and a more efficient use of healthcare resources. Finally, this project will strengthen Canada’s leadership in precision oncology and deliver concrete benefits to society as a whole.

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Superviseur du corps professoral :

Alexandre Cheng

Étudiant :

Partenaire :

Institut du cancer de Montréal

Discipline :

Engineering

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

L2M – IUAide by ReFem Technologies

ReFem Technologies is developing IUAide, a new medical device that makes intrauterine device (IUD) insertion safer, faster, and less painful. The current procedure uses outdated tools that cause discomfort and inefficiency for both patients and clinicians. IUAide combines gentle stabilization, local anesthesia, and real-time placement feedback into one easy-to-use device. Through this project, ReFem will refine its product design, test its prototype, and strengthen its business and financial strategy. The project will help the company prepare for investment and market launch, improving women’s healthcare while supporting innovation and job creation in Canada.

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Superviseur du corps professoral :

Nirupa Gangam

Étudiant :

Partenaire :

DMZ Ventures Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

McMaster University

Programme :

Business Strategy Internship

L2M – Electrochemical cellulose nanocrystal production

Our process takes bulk cellulose and upgrades it to cellulose nanocrystals — a valuable nanomaterial. This novel method now holds a provisional patent, but we need Lab2Market (L2M) to help us validate our process and implement it in industry. L2M will aid in identifying our potential customers, making sure our tech links well with existing infrastructure, and make a business proposition.

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Superviseur du corps professoral :

Emily Cranston

Étudiant :

Partenaire :

I-INC

Discipline :

Engineering

Secteur :

Forestry; Environmental Science and Technology; Sustainability and the Environment

Université :

The University of British Columbia

Programme :

Business Strategy Internship

Système d’optimisation de la surveillance de la culture via des robots en utilisant les LLVM et l’optimisation VSLAM3D

L’agriculture dans les régions nordiques fait face à des défis majeurs : saisons courtes, conditions climatiques difficiles et manque de main-d’œuvre. Ce projet vise à développer des robots agricoles capables de travailler de manière autonome dans ces environnements exigeants, sans nécessiter une supervision humaine constante.
Grâce à l’intelligence artificielle, ces robots pourront non seulement se déplacer dans les champs, mais aussi comprendre ce qu’ils voient et prendre des décisions adaptées. Imaginez un robot capable de reconnaître différentes cultures, détecter des maladies des plantes et planifier ses actions simplement à partir d’instructions en langage naturel, tout comme un travailleur agricole expérimenté. Le projet combinera deux technologies innovantes : des systèmes de navigation visuelle qui permettent au robot de se localiser précisément dans l’environnement, et des modèles d’intelligence artificielle capables d’interpréter des images et du texte pour comprendre les tâches à accomplir. Les résultats contribueront à améliorer la productivité agricole dans les régions nordiques, renforcer la sécurité alimentaire locale et réduire la dépendance à une main-d’œuvre qui se fait de plus en plus rare.

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Superviseur du corps professoral :

Martin Otis

Étudiant :

Partenaire :

Université Ibn Zohr

Discipline :

Engineering

Secteur :

Education

Université :

Université du Québec à Chicoutimi

Programme :

Globalink Research Award

L2M Validate / Qc Winter 2026 / Sport a way to prevent violent extremism

Kafka is a youth-focused initiative that uses team sports and structured activities to prevent violent extremism by addressing its root causes: social exclusion, discrimination, and lack of belonging. The project creates safe spaces where young people participate in team-based sports combined with mentorship, dialogue sessions, and positive role modelling to build social connections, mutual respect, and resilience against harmful ideologies. Unlike traditional security approaches, Kafka takes a preventive, community-centered approach that empowers youth through inclusion rather than surveillance. With eight years of development sector experience and a comprehensive global review of sport-based prevention programs, Kafka offers partner organizations, whether in policy, research, or peacebuilding evidence-informed model to engage at-risk youth, strengthen community cohesion, and create measurable social impact. By integrating sport with social development principles, partners can leverage an accessible, scalable tool that reaches youth where they are, builds trust within communities, and contributes to long-term peace and stability.

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Superviseur du corps professoral :

Tegwen Gadais

Étudiant :

Partenaire :

V1 Studio

Discipline :

Sociology

Secteur :

Education

Université :

Université du Québec à Montréal

Programme :

Business Strategy Internship

Demande de bourse Mitacs pour thèse “Dépôts de revêtements anti-corrosion par un procédé hybride “

Les couches minces nanocomposites, c’est à dire formées de nanoparticules incluses dans une matrice, représentent une voie intéressante pour développer des surfaces avec des propriétés multifonctionnelles. L’approche étudiée dans ce projet pour la synthèse de nanocomposites est l’injection d’une solution contenant des nanoparticules dans un réacteur plasma PECVD, afin d’obtenir en une seule étape, et sans manipuler directement les nanoparticules, une couche mince nanocomposite. L’objectif de cette étude est d’étudier la résistance à la corrosion de couches minces carbonées avec ou sans l’ajout de nanoparticules.

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Superviseur du corps professoral :

Luc Stafford

Étudiant :

Partenaire :

Université de Toulouse

Discipline :

Physics

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

L2M – Verdure Empowering Connectivity.

This project is a transformative energy technology that reimagines how electricity is delivered, expanding access to affordable power while supporting the global clean energy transition. The project is dedicated to empowering communities, particularly in underserved regions, with solutions that advance both energy access and equity.

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Superviseur du corps professoral :

Tejinder Randhawa

Étudiant :

Partenaire :

I-INC

Discipline :

Computer science

Secteur :

Clean Technology; Energy and Utilities; Green/Alternative Energy

Université :

British Columbia Institute of Technology

Programme :

Business Strategy Internship