Pre-delinquency models.

Times of economic stress (e.g., high inflation and interest rates) result in an increase in the frequency with which households fall behind with their loan payments. Loan delinquency in this project is when a borrower is behind with payments by more than 60 days. The project explores whether we can forecast loan delinquency early. An […]

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Developing a Mental Health Access Prioritization Algorithm as an API Service

Mental illness is considered one of the most serious conditions that one can develop. If left untreated, it could result in worsening the condition of the patient and increase the difficulty of treatment. From a patient’s perspective, most of the time even if they suffer with severe and debilitating symptoms, there’s still a prolonged wait […]

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LegacyX Large Language Model – Knowledge retention, sharing and mobility

In this project, we will develop a system to revolutionize how knowledge is captured, retained, shared, managed and utilized, particularly in software development and user support. Our aim is to capture essential knowledge that has accumulated by experts and is often overlooked, organizing it systematically for easy access and application by others. A key component […]

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L2M-Development of smart aeroponic systems for the promotion of wellness and sustainability

Sustainable agriculture has a significant and multifaceted role in promoting human health and well-being. There are many approaches to achieving wellness and an aeroponic growing solution is an excellent way to promote wellness by cultivating fresh, nutritious plants and thereby providing an indoor natural environment. In addition, the urban population in Canada is experiencing unprecedented […]

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A holistic Deco AI strategy for insurance risk categorization and predication

Insurance has been heavily affected from climate change in the past few years. Catastrophic events such as hail, floods, fires effect people’s lives. Technology like what Deco is building will help to speed up claims, settlements, repairs. If insurance companies can access accurate data instantly, it will help to make informed decisions about the claims […]

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A Data-Driven Framework for Forecasting Project Performance

In the dynamic field of construction project management, accurately forecasting project performance remains a significant challenge. Budget overruns and schedule delays are common issues, and despite the abundance of available data, existing forecasting practices struggle to effectively leverage this information. This study addresses gaps in the current literature by proposing a data-driven approach to enhance […]

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Strategic Optimization and Design of Artificial Lift Technologies: Synthesizing Data-Driven and Physical Analyses for Enhanced Production and Environmental Impact Reduction

The objective of this partnership is to create an intelligent system that utilizes data-driven analysis, machine learning algorithms, and numerical simulations to evaluate and enhance artificial lift technologies, with a specific focus on gas lift. This initiative aims to help oil and gas operators reach the maximum production capacity and minimum environmental impact. The project […]

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Increasing the biomonitoring potential of water boatmen (Hemiptera: Corixidae) in Alberta

In the Prairie Pothole Region of Canada, wetland consolidation and agrichemicals are potentially threatening aquatic life. The water boatmen are a family of aquatic insects with 42 species in Alberta that are monitored province-wide by the Alberta Biodiversity Monitoring Institute. However, currently only a small proportion of the water boatmen collected in the monitoring program […]

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Environmental Site Assessment Utilizing Multi and Hyperspectral Imagery and Computer Vision

This research project is a feasibility study designed to assess the viability of employing advanced technology for oilfield environmental site assessment and restoration. The conventional labor-intensive and manual process of evaluating oilfield sites for potential remediation or reclamation is performed in the field at high cost. Our primary objective is to investigate the feasibility of […]

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Coach MO: AI Coach for athletes engagement

MOTTIV Technologies and the University of Alberta team will create an “AI coach” which is a language based chatbot that will communicate to athletes, who use the MOTTIV app, with a defined vocabulary at the back-end effective for a coach-athlete relationship and training. The goal is to make the “Coach MO” chatbot proactive, engaging, motivating […]

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Accountium III – AI driven cash flow and budget prediction

Creative Emporium provides digital Accounting System Maintenance, minimizing human intervention. The current software does not have an intelligent engine to automate cash flow analysis and budget analysis. This process takes hours for an accountant to do manually and the results are not that accurate due to human errors. The General objective of this proposal is […]

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