P2P Social Money Exchange Platform

Designing a P2P Money Exchange platform application that creates a social network based on mutual trust will help individuals trust each other and participate in deals for Peer-to-Peer money exchange. This idea focuses on eliminating the need to use escrow mechanisms and the complexities of handling extra electronic payment and money transfer transactions and mandatory […]

Read More
Evaluating effectiveness of consolidated software development productivity measures

Approximately 70% of software projects do not achieve their goals. The project team offers Conflux, a productivity tool for software project managers, to monitor their projects’ productivity, health, and quality. Conflux helps the development team to be productive, motivated, and quality-oriented and provides early signs to project management to help them avoid project failure.

Read More
From Data Cleaning, Design and Migration to Portfolio Construction for Effective Recommendations and Decision Making in the Charity Domain.

Charity donations have long been a feature of society smoothing the differences between rich and poor. In the past these donations were handled manually using a variety of ah hoc means. This continuing project aims at systematizing the donation process by implementing an online system that facilitates the connection between donors and recipients, thus enabling […]

Read More
Multi-Category Classification Confidence for AdContextualization

This project studies Machine Learning algorithms for multi-category document classification. The purpose is to effectively predict user’s behavior based on the contextualization of the advertising and the associated document and therefore, to increase the click rate and the success of a dynamical advertising campaign. Due to the nature of the World Wide Web, the feature […]

Read More
Lie Group Statistical Analysis of Human Movement

Statistical analysis of 3-dimensional motions of objects or humans is instrumental to establish how these motions differ, depending on various influences or parameters. When such motions involve no stretching or tearing, they may be described by the elements of the Special Euclidean Group. Statistical analysis of physical processes of this kind is complicated by the […]

Read More
Toward microservices: an intelligent modernization and optimization of service points location system at Hydro-Québec

This partnership project with Hydro-Québec focuses on providing a better-informed optimization for service point location and modernizing the architecture of the optimization system. Our objective is to leverage the abundant data from Hydro-Québec to build robust forecasting models that can predict the workload demand at each potential or available service point. We also aim to […]

Read More
Analyzing the MRI Data from Premature Infants

Brain segmentation is crucial for providing accurate predictions to the patients due to the information which can be extracted from it, such as the shape and size of the tissue, underdeveloped or injured regions, and annual comparative results for brain growth. Segmentation of infants’ brains currently requires deep expertise and is a labor-intensive process, typically […]

Read More
Mobile Application Development

Ksalsuti Wellness Resources is seeking to create a mobile application to showcase the stories from the Turtle Island Series. The stories aim to improve to social and mental wellness of children by providing culturally relevant programming and materials from an Indigenous lens. These stories will have lessons embedded that focus on building positive self esteem, […]

Read More
Développement d’un outil de détection des ponceaux par intelligence artificielle

Au niveau des municipalités, la gestion des ponceaux est de la responsabilité des gestionnaires de la voirie. Cependant, l’inventaire complet des ponceaux n’est pas toujours disponible en raison de l’éloignement de certaines zones rurales, et la non disponibilité historique des données du ministère des Transports du Québec pour ce type d’infrastructure. Afin de détecter et […]

Read More
Développement d’un système d’aide au diagnostic en agriculture

En partenariat avec le compagnie XLKey, le projet vise à développer un système pour centraliser les données de milliers de producteurs agricoles afin de leur offrir des analyses qui leur permettront de situer la performance de leurs cultures et de leurs opérations par rapport à d’autres producteurs partageant des conditions semblables. Concrètement, en accumulant des […]

Read More
TrypScore Deeplinking Integration

Incorporated in 2019, Medidas Digital created TrypScore, a mobile application designed to positively impact driving behaviour and help reduce the 1.35 million fatalities and 50 million serious injuries caused by vehicle collisions across the world each year. Unlike User-Based Insurance and telematics monitoring systems, TrypScore uses gamification, incentivization and engagement to put drivers at the […]

Read More