Optel : Détection d’anomalies en traçabilité

OPTEL est un fournisseur majeur de systèmes de traçabilité, de suivi et de vision pour un nombre croissant d’industries, notamment l’industrie pharmaceutique, les appareils médicaux, l’alimentation et les boissons, l’agrochimie, les métaux et les minéraux. Dans le cadre de ce stage, un pipeline de collecte de rapports sera construit sur une entité (usine, entrepôt ou […]

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IT Help Desk Technician

The goal of this project is to create a sample system for managing laptops using specific software called Intune and Autopilot. This system should cover everything from the beginning of a laptop’s life to the end, and be created using Lean Sigma Six principles to make it as efficient as possible. The student working on […]

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Arctic Research Foundation – Polar Data Analyst Project

This phase will continue some of the work started in the last phase regarding visualization of data. Some of the basic file types and visualization standards were established in the last phase. Basic file types such as images and .pdf files were considered. In this phase the exploration of the incorporation of ARC GIS for […]

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Détection automatique de semences de résineux pour l’évaluation en temps-réel de l’efficacité d’un semoir

Dans le but d’améliorer le taux d’ensemencement d’un semoir pneumatique de graines de résineux, un système automatisé de vision par ordinateur permettant la détection automatique des graines de semences de résineux permettant ainsi l’évaluation en temps-réel de l’efficacité d’ensemencement du semoir sera développé. Ce système automatisé sera constitué d’un système de capture d’images par caméra […]

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Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

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Understanding and Predicting Daily Shifts in Emotion with Machine Learning

Individuals’ mood can change on a moment-to-moment basis. Understanding and predicating changes in mood, however, is difficult. A Canadian technology company, called UpBeing, has developed a mobile app to help collect data on mood (among other data) multiple times in a given day. The proposed study will use cutting-edge machine learning techniques and data provided […]

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Automated Data Analyzer

The objective of this project is to develop an automatic data analysis tool that allows users to query datasets using a natural language interface. The project aims to incorporate external knowledge sources via knowledge graph integration, thereby enhancing the accuracy of the analysis. The knowledge augmentation will be reference based using REALM or Toolformer inspired […]

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Motion Planning and Control of Industrial Manipulators

Our project involves the use of robotic arms with six movable joints. Utilizing Inverse Kinematics, we will program the arm to figure out how to position each joint to reach specific points, offering flexibility in handling tasks. Through motion planning, we will design paths that the arm can follow to move from one point to […]

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Enhancing Matching and Diversity in Health Research Projects through Textual Interpretation and Machine Learning

The project aims to improve the matching process in health research projects by leveraging machine learning and textual interpretation. It focuses on accurately connecting research projects, community organizations, and participants. The project addresses challenges such as diversity and inclusion by interpreting metrics, generating synthetic participant profiles, and utilizing NLP techniques for label association. By creating […]

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Informative Art Simulations and Games for Improving Energy Awareness in the Home

While energy conservation in the home is an important part of reducing our ecological footprint most people do not understand or even realize how their energy consumption works and how they can manage it. In-home displays offer the opportunity to help become more aware, but often do not fit into a home’s aesthetics, typically relegated […]

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Rich, Immersive AR/VR Communication

Face-to-face communication provides substantial benefits over traditional remote communication via video and voice: the expressivity of body language, spatial grounding in a common physical space, access to physical tools and objects, and much more. For many collaborative tasks, face-to-face communication is considered indispensable, yet meeting in person can be rendered infeasible by any number of […]

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