Intelligent Knowledge-based Digital Assistant for Enhancing Customer Service in a Fundraising Management Organization

Customer service operations in fundraising management organizations often face the challenge of handling large volumes of repetitive inquiries during high-demand periods such as festival seasons, raffle result announcements, and charity campaign launches. Traditional customer service support methods cause delayed responses due to limited staff availability, resulting in customer dissatisfaction. To address these challenges, we propose […]

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PatchUp Summer Education Student BSI

PatchUp is a web-based resource that offers a smarter, more scalable way to support classrooms by addressing behavioural needs through technology and innovation. Designed to assist students during moments of dysregulation, PatchUp provides interactive emotion regulation activities that can be used independently or alongside support staff, making it a flexible solution across a variety of […]

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Metabolomic Characterization of Wild Canadian Haskap (Lonicera caerulea var. villosa) Germplasm

Haskap is an emerging berry crop in North America known for its unique flavour and high nutritional value. Commercial haskap cultivars have received considerable attention from researchers, however, Canada’s native wild haskap populations remain largely unstudied. This project aims to comprehensively analyze the metabolomic profiles of 150 wild Canadian haskap accessions maintained by the Fruit […]

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L2M – NutraMate

The NutraMate project aims to revolutionize prescription management in pharmacies by implementing an AI-driven automation system that replaces traditional manual processes. Our cutting-edge technology will significantly reduce the documentation and data entry time while also having high accuracy and improving patient safety through advanced verification processes. Our product is seamlessly integrated into existing pharmacy workflows […]

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L2M – Patient Repositioning Device

Healthcare workers face increasing challenges in protecting themselves from injuries caused by physically demanding tasks. One of the most injury-prone activities is repositioning patients in bed, such as sliding them up or down the mattress or turning them onto their side for sling placement and backside care. These tasks often require significant manual effort and […]

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L2M – Plant based adhesives for a greener future

The goal of this research is to employ protein derived from canola meal, a readily accessible agricultural byproduct generated in Canada, to create a biodegradable, non-toxic adhesive. This breakthrough contributes to Canada’s agriculture sector, lowers environmental and health concerns in the wood production industry, and promotes the country’s green economy goals by eliminating synthetic, petroleum […]

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L2M – JOYfuel

The project background for JOYfuel stems from the pervasive issue of current social media platforms, whose default algorithms often prioritize engagement over user well-being, leading to passive consumption, digital distraction, and a significant ‘time tax’ on individuals’ productivity and mental health. Laroye AI’s core business idea is JOYfuel, an AI-powered mobile application that provides a […]

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L2M – Gen AI powered cyber threat assessment platform

We are developing a next-generation cybersecurity tool that uses large language models (LLMs), a form of generative AI, to help small and medium-sized businesses (SMBs) detect hidden weaknesses in their systems before they can be exploited. Unlike traditional tools that rely on fixed rules and often flood users with too many alerts, our platform understands […]

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L2M – Automating Chromatography Process

Minerva Analytics Inc. is a technology startup focused on automating manual and repetitive processes in research laboratories. The goal is to free scientists from routine tasks so they can concentrate on complex analysis and innovation. Through AI-powered software tools, Minerva transforms traditional lab workflows—often reliant on manual data entry, disconnected spreadsheets, and inefficient communication—into streamlined, […]

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L2M – Cross-Modality Translation in Medical Imaging: Bridging Diagnostic Domains

Medical imaging is vital to modern healthcare, yet high costs and limited access slow patients’ paths to diagnosis. Radiologists often correlate imaging findings across multiple imaging modalities and sequences to arrive at a specific diagnosis, but each extra scan or sequence increases scanner time, healthcare costs, wait-list pressure, radiation for ionizing exams, and energy use. […]

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L2M – Scalable Additive Manufacturing of Compact Lattice Heat Exchangers for High-Performance Thermal Management in Space-Constrained Applications

This project focuses on the commercialization of a compact, high-efficiency heat exchanger developed using advanced lattice geometries and additive manufacturing technologies. Designed to meet the thermal management needs of space-constrained systems, the innovation offers significant advantages in size, weight, and performance over traditional heat exchangers. The intern, Sanjoy Dam, will conduct market research, customer discovery, […]

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L2M Next-Gen Pellet Extrusion 3D printer: Eliminating Barriers to Performance and Precision

This project focuses on solving key problems in large-scale pellet-fed 3D printing, a technology that holds great promise for cost-effective, sustainable manufacturing. Unlike traditional 3D printers that use expensive filaments, pellet-fed printers use raw plastic pellets directly, making them more affordable and flexible for industries like construction, automotive, and tooling. However, the current systems have […]

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