L2M – BIM Integrated Workflow for Defect Detection and Feedback in 3D Concrete Printing

This project will deliver a software plugin and workflow that seamlessly connects a Building Information Modeling (BIM) tool with 3D concrete printing (3DCP) systems. During the design phase, it will enable construction teams to generate, review, and refine concrete printing paths directly within the BIM environment, removing the need for separate tools. During printing, a […]

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L2M – Development of a modular AI voice architecture for automated dental front desk operations

Orbis Assist is developing “Ava,” an intelligent voice assistant designed to function as a fully automated receptionist for dental clinics. This internship project focuses on building the secure software that allows the AI to manage phone calls, schedule appointments, and answer patient questions by directly connecting with the clinic’s internal calendar systems. By automating these […]

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L2M – TruckBud Commercialization Strategy

The project will focus on applying structured market research methods to better understand the commercial potential of my venture idea. I will interview potential customers, analyze market insights, test assumptions, and evaluate different business model options. This work will help me clarify the problem I am solving, identify real customer needs, and determine whether the […]

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L2M – WayLuma

This project will develop an easy-to-use system that helps students automatically fill out university application forms by organizing their information and entering it into different school portals. The goal is to save students time, reduce mistakes, and make the application process less stressful. For North Forge, this project provides a chance to support a new […]

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L2M-Augmented Reality-Based Training System using Multimodal Language Model for Context-Aware Guidance and Activity Recognition in Complex Machine Operations

Many industrial companies still rely on traditional training methods and struggle to keep up with evolving skill requirements. These conventional approaches, such as manuals, videos, and classroom instruction, are ineffective in delivering the hands-on skills required to operate complex machinery. Our project introduces an Augmented Reality (AR) based training platform powered by Multi-Large Language Models […]

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L2M – SmartRail Hotspot Analytics Using Fiber Sensors

The proposed project will use existing telecom fiber installed alongside railways to monitor the physical condition of Canada’s aging rail network in real time. By attaching small Fiber Bragg Grating (FBG) sensors at key stress points—such as bridges, track curves, and transitions—the system will continuously measure strain, temperature, and wheel impacts without adding new cabling. […]

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L2M-Designing a Stable CD19 Protein Mimic for CAR T-cell Therapy

CAR T-cell therapy is a type of immunotherapy that displays remarkable potential to treat B-cell cancers. In this treatment, a protein on the surface of B-cells called CD19 is targeted, allowing for the specific killing of B-cells in patients. However, CD19 is a “difficult to express” protein, characterized by high levels of aggregated protein and […]

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L2M – Smart Concrete for Structural Health Monitoring (SCSHM)

This project explores the development and application of smart concrete an innovative construction material enhanced with advanced sensing and self-monitoring capabilities. Unlike conventional concrete, smart concrete integrates conductive or functional additives that enable it to detect stress, strain, cracks, and environmental changes in real time. This technology addresses critical global challenges by improving infrastructure durability, […]

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L2M – Integrated Data Science Platform for Complex Spatiotemporally Resolved Biomedical Applications

Reliable annotations set critical ground truths for modern data science initiatives. In life sciences, however, large volumes of physiologic data streams produce computational bottlenecks that hinder this workflow. A researcher’s only viable alternative is to adopt a DIY approach, exporting data to separate coding environments. This fragments the analysis from the visual context and corrodes […]

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L2M – Phase-noise reduction technique for microwave oscillator

The proposed project will explore how our new low-noise microwave oscillator technology can meet real needs in radar and communication systems. We will interview industry experts to understand what performance, environmental reliability, and cost requirements are most important for practical use. At the same time, we will work with manufacturers to see whether our design […]

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L2M-Body-Safe Wearable Antenna Technology for Reliable Health Monitoring Devices

This project focuses on validating the real-world potential of a new wearable wireless sensing technology designed for safer and more reliable on-body communication. Many current wearable devices struggle with performance instability and safety issues due to strong interaction with the human body. This project explores an alternative design approach that minimizes unwanted radiation into the […]

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