Dolce & Gourmando Inc., a Toronto-based retail business specializing in unique specialty foods, currently faces challenges in inventory and product information management. It’s reliance on diverse suppliers, absence of an integrated inventory management system, lack of customization options in the existing software, and financial inability to implement cost-intensive alternatives [1,2,3], necessitate the development of a […]

When we want to deploy the trained model in the production environment, we should make sure that the model is working properly. Thus, we aim to extend the “data drift detection” and “model monitoring” components to work on large-scale datasets in production. Besides, we aim to enable model versioning to make sure that the pipeline […]

Enormous quantities of machine-readable data, measured in many terabytes, are readily available. The sources include the world-wide web, publicly available databases, raw experimental data, unannotated genomic sequences generated by biochemical tools, and so on. However, data does not necessarily equal useful information. More often than not, the data has to be intelligently processed, interpreted, transformed, […]

The Immersio Web Application project aims to make learning languages easier and more enjoyable for people everywhere. By improving the way learners, teachers, and institutions interact with the app, our goal is to minimize confusion and distractions in the learning process, allowing users to focus more on learning and teaching. This project will benefit Immersio […]

Design and deploy a system that allows users to utilize specific generative AI models such as Large Language Models in order to fine-tune them on data specific to a particular domain to perform large-scale data analysis, prediction, and various outputs.

The proposed research aims to apply the capabilities of machine learning to study molecular models of cell membranes. Cell membranes are composed of fluid lipid bilayers with a highly dynamic nature. By developing neural network models for the simulation of lipid bilayers, we seek to overcome the shortcomings of current computational methods, providing superior accuracy […]

The onboarding process for B2B sales professionals is traditionally lengthy and inefficient, often taking upwards of six months to reach full productivity. This results in significant revenue losses and reduced competitiveness. Current AI models in sales onboarding lack contextual understanding and fail to deliver systematic, measurable outcomes that align with the nuanced demands of B2B […]

Our comprehensive real estate project is structured into two innovative subprojects, each spanning four months, with the overarching aim of revolutionizing communication and decision-making in the real estate market for buyers, sellers, and agents. Sub Project 1: The Smart Open House introduces a groundbreaking approach to open houses. This system features a digital sign-in for […]

This project aims to identify new technological approaches to personal finance to bring into the Canadian market. Managing personal finance is critically important for Canadians, especially in a post-pandemic era of economic difficulty and high prices. The project will use customer research related to fintech and artificial intelligence in Malaysia to investigate potential areas for […]

We propose a semi-automated brain lesions segmentation method utilizing deep learning techniques and point prompting such as foundation models (SAM). This developed approach aims to assist physicians in the follow-up of multiple sclerosis disease at different stages, enhancing the likelihood of successful treatment for patients. The key contribution of this research lies in the advancement […]

Genomic data is a rich source of knowledge that can reveal important details about a person and their ancestry. However, accessing and sharing genetic datasets is essential for advancing research and enhancing healthcare outcomes. Allowing sharing, accessing, and analyzing the genomic data while preserving users’ privacy is challenging. Differential privacy (DP) is a promising lightweight […]

We propose to leverage social networking in a series of apps designed to improve the quality of life for persons with cognitive disabilities. We believe the success of companies for recreational athletes, some with over 15 million users, is linked to motivation and partnering, in addition to the analysis and tracking features. Building on our […]