This project enables interns to enable Market Innovation in Canada, related to their field of study or industry of interest. This will contribute significantly to the Cansbridge Fellowship’s mission of empowering entrepreneurially-minded students and promoting innovation in Canada. Under the guidance of the academic supervisor, the intern will focus on identifying innovative organizations for potential […]

In today’s social media landscape, users are constantly creating a variety of content, from texts and images to videos. However, producing high-quality material often requires expertise and resources that many don’t have. This is where our collaboration with PetoLab, an innovative social media app for pet enthusiasts, comes into play. We’re on a mission to […]

Botree, a future-thinking learning and development company, is taking a significant step forward by introducing an AI-powered application to revolutionize instructional design. This project aims to update traditional training models, making them more effective for the digital-first workforce. By incorporating advanced learning theories and leveraging AI, Botree’s new application will transform research and existing content […]

Extensive ecosystem changes are expected to be driven by decreasing water availability in the western boreal forest. Warming of 2° C since the 1950’s has already been linked to water stress and declining tree growth in some regions and species. Tree rings are a valuable tool for tracking changes in forest growth over time, but […]

Urban forests are one key to building a resilient city as urban trees provide numerous benefits to city residents including environmental, social and economic. This project includes two key components. The first is for the intern to help complete the City of Camrose street-tree inventory, while the second is for the intern to contribute toward […]

Acute myocardial infarction (AMI) is a life-threatening medical condition, and it remains the primary reason for premature death (persons aged 25–64) worldwide. Therefore, early screening of cardiac biomarkers is critically important for improving survival chances. The existing methods for detecting cardiac biomarkers are multi-step approaches and require laboratory tests, which have higher test times, are […]

AltaML’s primary activities involve collaborating with traditional sectors to identify productivity and process challenges that can be addressed through applied AI. The previous cohort of interns worked on a marketing content generation use case, but for the upcoming term, students will be tasked with working on a chatbot for the Human Resource (HR) department, aiming […]

From year to year, an increasing number of people face a wide range of gastrointestinal disorders and general health problems, often caused by an imbalance in the gastrointestinal microbiota. That is why developing products to normalize the state of the microflora is a priority in creating preventive health products. It has been established that products […]

Total recordable injury rates (TRIRs) have declined significantly over the past thirty years, yet serious injuries and fatalities (SIFs) have not. With the Alberta Mine Safety Association (AMSA) and member companies, we will summarize and evaluate the leading indicators for SIFs, use subject matter experts and integrative AIML to develop and assess SIF predictive measures, […]

Low intensity pulsed ultrasound (LIPUS) therapy when used in conjunction with clear aligner orthodontic treatment has been shown in clinical studies literature to accelerate orthodontic tooth movement, reduce orthodontically induced tooth root resorption, and shorten the overall duration of orthodontic treatment. In-market use of LIPUS technology as an adjunct the clear aligners has grown significantly […]

Point dendrometers are indispensable for monitoring tree growth and detecting stress in forest ecosystems, offering detailed insights into cambial activity and environmental responses. The project’s goal is to harness machine learning to address data gaps and enhance the precision of trend detection in dendrometer data. This approach will also seek to identify signals of ecosystem […]

The proposed research aims to use Machine Learning Methods to interpret data obtained during the Electrical Resistivity scans in the delineation of Fracking Sand deposits in Western Canada. Traditional exploration for sand deposits involves pricey and not always efficient auger and sonic drilling on the entire investigated Property. Currently, costs associated with those operations are […]