L2M – Revolutionizing Cycling Performance and Preventing Injuries with Real-Time AI Biomechanical Feedback through CycloNova

There is a lack of technology to optimize performance and prevent injuries in cyclists. This is a potential reason leading to an injury rate of 3-50 per 1000 persons. Our solution leverages AI to deliver real-time, accurate biomechanical feedback to riders. By providing actionable insights, it has the potential to reduce injury rates and significantly […]

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L2M – An AI-Based Cycling Device for Lower Limb Rehabilitation

Pedaling exercises using stationary cycling ergometers are a widely used rehabilitation method for lower limb injury recovery. However, current cycling devices do not allow for individualized training of each leg based on its specific load-carrying capacity. APAD is novel cycling ergometer that will address this gap by designing and developing a smart cycling ergometer capable […]

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L2M – Sharefric

A platform focused on making high-quality products more affordable and accessible to consumers by promoting a sense of community. The platform’s goal is to support smart buying decisions and empower users to achieve greater value in their shopping experiences. Our platform is committed to transforming the way people shop by making affordability a reality for […]

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Jahid Hassan – Algoclan

This project aims to develop innovative solutions to improve operational efficiency (Inventory Management) for platform sellers on e-commerce platforms like Amazon and Shopify. By exploring key areas such as inventory management, product sourcing, and fulfillment logistics, the project will address common inefficiencies using data analytics and automation tools. Additionally, it seeks to create a tailored […]

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Trustworthy AI for Personalized Healthcare: A Quantum-Inspired Approach

This project aims to improve the transparency and trustworthiness of AI systems in healthcare by using quantum-inspired agent-based modeling (ABM). By combining this with AI-based medical forecasting, the project will help create more reliable and ethical AI models that can handle complex medical data. The participating institutions will benefit by advancing their expertise in AI […]

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Design ethical AI systems for nautical crime database

The Food and Agriculture Organization of the United Nations reports that illegal, unreported, and unregulated (IUU) fishing accounts for as much as 26 million tonnes of fish each year, with a value ranging from $10 to $23 billion USD. Despite its significance, there is a notable lack of comprehensive international databases on nautical crimes, including […]

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AI Eye Test Project

We propose a project to develop advanced technology that enables remote diagnostic testing and increases efficiency in eye examinations. This innovation will enhance the diagnostic capabilities of optometrists, allowing for improved patient outcomes and increased clinic productivity. The expected benefit is a significant improvement in efficiency and accessibility of eye care services, positioning the EyecareX […]

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Enhancing Concussion Assessment Accuracy Using Kinarm Robotic Platform: A Statistical Approach to Evaluating Neurological Deficits in Athletes

The project aims to improve how concussions in athletes are detected by using the Kinarm robotic platform, which measures sensory, motor, and cognitive functions. By analyzing data from healthy and concussed athletes, the project will develop a more accurate method for identifying neurological issues after a concussion. This will help the partner organization enhance athlete […]

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Visual Analytics for Canadian Beef Producers

Canadian Angus Beef Producers measure, record and have access to copious amounts of data, for a growing number of traits and metrics that are economically relevant. To date, the industry and service providers like the Canadian Angus Association through which data is recorded and analyzed have been limited in the format in which this data […]

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The Mosquitoes of Calgary: From Morphological References to Molecular Barcodes

Mosquitoes are a widespread nuisance that can also be responsible for the transmission of deadly diseases to people and animals, but different species of mosquitoes are responsible for the transmission of different diseases, and many species vary greatly in how they behave and where they are found. Identifying which mosquito species are found in an […]

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Development of Advanced Lithium Rechargeable Batteries and Scalable Manufacturing Processes

Demand for higher-capacity batteries has been rising exponentially from industries such as zero-emission vehicles, smart grids, unmanned aerial vehicles, and many others. However, current battery technology is limited by graphite anode materials, which have a low specific capacity. Furthermore, the manufacturing process of battery-grade graphites is criticized for the amount of GHG and environmental damage […]

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