Design and development of a pillowcase for capturing EEG signals

CortexCare is a health-technology company focused on developing non-invasive and consumer-ready solutions for sleep improvement and neurological wellness. Their core activities include designing wearable and textile-integrated devices that combine sensors, stimulations, and analytics to support individuals with sleep disorders such as insomnia. The company has previously developed a pillowcase capable of generating low-intensity electromagnetic fields […]

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OfferioAI

This project will help Blü Creative Digital Technologies strengthen and validate the foundation of its secure, closed-loop AI platform used by governments and regulated organizations to manage policies, procurement documents, and institutional knowledge. The internship will focus on organizing large collections of internal documents into a trusted, searchable system that produces accurate, traceable, and permission-based […]

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L2M – Construction Equipment Tracking Market Research

TAUlab is building a fleet and equipment-tracking platform for small and mid-sized construction contractors. These companies often struggle with lost equipment, incomplete job-site reporting, and administrative overload. Although many large enterprise tools exist, they are bloated with features and rarely match how smaller subcontractors actually work day-to-day. Most companies in this segment still rely on […]

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L2M – BEsTech

This project will explore and test the idea of BEsTech, a platform that helps companies find the right additive manufacturing (3D printing) services, materials, and experts faster and without relying on middle agents. Instead of building full software, the project will study real industry needs, test simple prototypes, and learn how people would use and […]

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Graph Neural Networks for Wind Power Modelling

This project aims to develop new machine learning models that can help wind energy companies design wind farms more efficiently and at lower cost. Today, planning a wind farm requires running large, high-resolution computer simulations to understand how wind flows around turbines and how much power a proposed layout can produce. These simulations are accurate […]

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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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