Check Image Fraud Detection using Deep Learning Models

Our project aims to tackle the persistent issue of bank check fraud by using advanced deep learning technologies. By developing a system that can automatically detect fraudulent alterations in check images, we seek to enhance the security and reliability of financial transactions. This project is a collaboration with Verafin Inc., a leading provider of fraud […]

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AI-Driven Platform for Streamlined Creation of Interactive Simulation Labs in STEM Education

This project aims to develop an interactive platform with AI capabilities to facilitate the creation of complex simulation labs for STEM education. The significance lies in enabling educators to design and deploy interactive lab environments efficiently, enhancing student engagement and understanding in STEM disciplines. The objectives include exploring generative AI models for lab creation, integrating […]

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Automatic Detection of Tool Wear in Machining Tools Using Deep Learning

The proposed research project aims to create an AI-based automatic system for monitoring and characterizing the condition of cutting tools by integrating robotic systems and smart cameras. This innovative approach addresses the limitations of traditional tool wear monitoring methods, which often lead to unnecessary costs and machine downtime. By developing advanced machine learning algorithms and […]

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L2M QC 2024 – « Sickle assist »

Résumé projet : SICKLE ASSIST Notre plateforme se distingue par son approche innovante, remplaçant les méthodes manuelles traditionnelles par des algorithmes d’apprentissage automatique. Ces derniers permettent une surveillance personnalisée des patients à travers les bilans biologiques, leurs complaintes, en identifiant les risques potentiels de complications et en priorisant les interventions en conséquence. En analysant les […]

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Développement de bots d’extraction et d’analyse de données d’entreprise pour la revue diligente

Notre projet principal vise à transformer le processus de due diligence lors de l’acquisition d’une entreprise. Pour ce faire, nous développerons un algorithme multimodal capable de collecter et de structurer efficacement toutes les informations contenues dans la salle de données d’une entreprise. Cet algorithme analysera divers types de données, qu’elles soient textuelles, numériques ou visuelles, […]

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Data science to deliver more results with greater speed and accuracy

Happly is currently addressing a pressing issue regarding the optimization of its backend operations to enhance support for startups and entrepreneurs. The overarching goal of this project is to bolster Happly’s capabilities through data science and AI, thereby enabling startups to receive customized recommendations and refined funding strategies. The intern will play a pivotal role […]

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Establishing ISO 27001 certification baseline

The main objective of this project is to assist Technology North company and similar ones in managing cybersecurity risks linked with deploying assistive technologies, especially those designed for individuals with Autism Spectrum Disorder (ASD). By establishing strong information security controls that conforms with industry standards, this will increase the accessibility and dependability of assistive technologies […]

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Optimizing a retail point-of-service system for cross referenced inventory

The filter and battery manufacturers do not maintain information for Canadian market specific equipment. This knowledge is continually being lost as more and more catalogues are moving online. After supporting the construction, and agricultural communities for over 50 years we have gained and stored knowledge for much this older Canadian equipment. Especially in Saskatchewan much […]

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Développement d’un algorithme d’analyse et de géotraitement des données géospatiales pour l’optimisation de l’épandage des sels de déglaçage

Clean Nature est une startup qui offre des solutions technologiques de pointe aux municipalités et aux entreprises privées afin d’accélérer la transition vers des pratiques opérationnelles plus intelligentes, durables et connectées. Une des solutions développées touche à l’entretien hivernal et consiste à proposer des taux et des types de déglaçant (sel, abrasif ou mixtes) par […]

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