L2M – WindChat Intelligence: Conversational AI for Wind & Hydrogen Site Screening

The wind energy industry currently relies on a fragmented workflow involving multiple disconnected and expensive software tools for site assessment, energy calculations, and reporting. This inefficiency limits the number of sites developers can evaluate and creates a high barrier to entry for smaller developers and community projects. This project, titled WindChat, focuses on validating a […]

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L2M Voltage Meter

The Voltage meter is a first of its kind device created with the intention of bridging the gap between the symptomatology we understand from our frail patients’ (those who score 0-1 on the Frailty Index) experience and a numerical way to quantify rehabilitative progress or decline in the clinical environment. We know that there is […]

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CLIQMedia – AI-Enabled Digital Marketing Insights Framework for Predictive Campaign Innovation

CLIQMedia is a Vancouver-based digital marketing agency specializing in web design, development, branding, and advertising for clients in construction, real estate, design, and dental industries. As the company continues to scale, it faces an innovation challenge around how to generate deeper, data-driven insights that meaningfully improve campaign outcomes in industries that are rapidly digitizing but […]

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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 – GNSS Reflectometry Techniques for Monitoring Local Sea State

This project explores the use of GNSS reflectometry as a simple way to observe local sea conditions from the shoreline. The work focuses on understanding how signals from navigation satellites can be used to estimate changes in sea level and surface state without placing equipment in the water. During the internship we will study the […]

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L2M-An AI-powered interactive educational robot that engages learners at the young age through natural conversation, personalized instruction, and hands-on activities, adapting its teaching style to each child’s needs.

This project focuses on developing an innovative, smart, interactive toy robot for children aged 3 to 8. The robot combines emotional intelligence, educational content, and safety monitoring to provide a healthier alternative to mobile device usage. It serves as a companion that can recognize a child’s mood, offer adaptive learning activities, and detect environmental hazards […]

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L2M – Auto Byuing Companion

This project aims to develop AutoBuyingCompanion (ABC), a digital advisory tool that helps Canadians make informed car-buying decisions. By processing user requirements, car specifications, and cost of use, as well as environmentally responsible usage, this project will provide recommendations on the most suitable models. By incorporating data analytics with insights from artificial intelligence, this project […]

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L2M – Polycoat Flooring

The proposed technology, called polycoat flooring, aims to ease the electricity bill of Canadian households through no added effort, simply by harnessing otherwise wasted mechanical energy and transforming it into usable electricity. Through a simple and highly intuitive installation process, this product provides an alternative aesthetically pleasing flooring option that generates electricity by simply walking […]

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L2M – TerraFire Intelligence Platform: An Integrated Solution for Predictive Wildfire Intelligence

Wildfires create serious threats to communities, infrastructure, and natural environments across Canada. Many regions face fires that grow faster and burn hotter due to climate change, dry conditions, and limited access to real-time information. Current tools often fail to provide timely or accurate understandings, especially in remote or northern areas where ground reports arrive late […]

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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- Potatoleaf Doctor( AI model for potato leaf detection)

Agriculture supports food security for 60% of the global population, with potatoes, the 4th most consumed crop, feeding around 1.5 billion people daily (Afakh et al. and LeCun et al.). Canada produces about 5.7 million tonnes of potatoes each year, making it the 12th-largest producer in the world. The country’s potato exports generate around $1.6 […]

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