L2M – LeanPrompt: Accelerating Generative AI with Smarter Resource Utilization

We aim to develop and implement a cost-efficient framework for communicating with proprietary generative AI platforms such as ChatGPT. In fact, these provider companies expose their models through an interface that can be accessed via API. However, calling their API will incur a cost considerably based on our request. Basically, smaller models are cheaper than […]

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Développement et mise en production d’une fonctionnalité d’outils de création d’itinéraire pour une plateforme B2B d’approvisionnement en circuits courts

Ce projet vise à concevoir et développer des d’outils de création, de visualisation, de gestion et de suivi d’itinéraires de livraison, intégrée à une plateforme numérique d’approvisionnement local en circuit court. Ces fonctionnalités permettront d’optimiser les opérations logistiques, en particulier les livraisons et le suivi des commandes pour les utilisateurs de la plateforme, en particulier […]

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L2M – DeepSimu: Next Generation of Deep Learning Frameworks

DeepSimu, the next generation of Deep Learning (DL) frameworks, is proposed to deal with the challenges which Artificial Intelligence (AI) practitioners are facing nowadays when using the available Machine Learning (ML) tools such as Tensorflow, Pytorch, Keras and ScikitLearn. While these frameworks necessitate high level python programming skills like object-oriented programming, DeepSimu has made a […]

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L2M Validation / Qc Automne 2025 / Utilisation de la Robotique Autonome et de l’IA Multimodale pour la Surveillance de la Santé et des Émotions des Vaches Laitières

Le Québec compte environ 4?333 fermes laitières, produisant près de 3,5 milliards de litres de lait par an avec 361?000 vaches. Cette industrie représente près de 37?% de la production laitière canadienne, mais elle est confrontée à un défi de taille : l’absence d’outils technologiques intelligents, mobiles et autonomes pour surveiller en continu la santé […]

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L2M Validation / Qc Automne 2025 / AuthoMate

Les organisations canadiennes des secteurs financier, santé et cloud subissent d’énormes pertes économiques dues aux limitations des systèmes de contrôle d’accès actuels qui présentent des insuffisances majeures : incapacité à gérer simultanément les contraintes temporelles, historiques et contextuelles, vulnérabilités aux erreurs de configuration causant des violations de données (coûtant 6,32 M$ CAD par incident), et […]

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Designing Social Games to Maximize Engagement and Healthy

IgnitePlay is developing a social media package which will make healthier living more fun and easier. An important component of this package is a social game and reward system that encourages users to make changes in their lifestyle. This project will involve the development of a game design (in terms of a prototype or series […]

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L2M Launch / Qc Fall 2025 / Empowering Social Workers Through Smart Technology

A survey conducted in 2024 revealed that up to 16% of Quebec’s social workers are considering leaving their profession due to cumbersome administrative tasks and intense workloads. Many of the social workers must conduct home visits as part of their job which sometimes can be challenging and risky, especially when dealing with abuse, addiction, homelessness […]

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TRLUP AI food therapist

Project Title: AI-Powered Food Therapist for Health Monitoring and Dietary Therapy Project Description: This project is an innovative AI-powered health application designed to empower users to monitor their health through medical image analysis and receive personalized food therapy recommendations. Users can upload medical images—such as photos of their tongue, skin, eyes, or other relevant diagnostic […]

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Les défis de l’encadrement juridique de l’intelligence artificielle : une comparaison entre l’Europe et le Canada

Le travail sera une étude de droit comparé qui portera sur les risques de l’intelligence artificielle et l’encadrement juridique existant en Europe et au Canada. Le projet analysera les vastes domaines d’utilisation de l’IA, comme dans la justice, dans la médecine ou par des entreprises. Il s’agira également de faire une analyse approfondie des violations […]

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TRLUP – Apex Health Digital Health Platform enabling global health record accessibility

Apex Health is an emerging Canadian digital health company dedicated to advancing equity, security, and innovation in health information management and informatics. Its operations are focused on delivering privacy-first digital health solutions, including health data analysis using machine learning and predictive analytics. Apex Health is committed to helping Canadian healthcare organizations optimize clinical outcomes, enhance […]

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Automating Web Application Security Testing for Enhanced Efficiency and Coverage

Forward Security is a cybersecurity firm focused on helping clients identify and mitigate application-level vulnerabilities. One of their current innovation priorities is improving the efficiency and accuracy of manual security testing practices by leveraging automation, particularly in alignment with the OWASP Application Security Verification Standard (ASVS), a globally recognized framework for secure software development and […]

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Augmenting NVD-based Attack Path Generation with New Factors for Cloud Environments

To quantitatively assess the security level of a cloud environment, a common method is to construct an attack graph which tracks a potentail attacker’s moves through interconnected computing systems by exploiting vulnerabilities of each system, one after another. The state-of-the-art automatic attack graph generation suffers from two limitations: 1) low quality or inconsistency of vulnerability […]

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