Yalty Software is a start up aiming to resolve pain points in the e-commerce ecosystem. We have been working with student teams from CDM and BCIT to create parts of our total platform. We had been in the process of a funding round in February/March when the uncertainty caused by COVID-19 slowed or stopped investment […]

Developing a drug for new diseases cannot only be challenging but also time consuming. From the identification of a druggable target to a compound which can improve a condition it usually takes more than 12 years. Since there is basically an infinite number of possible compounds which can be turned into a drug it is […]

The project aims predict the demand of customers for small and medium size businesses. Forecasting models will be developed analyze historical data to understand patterns and correlations. Machine learning will be applied to determine how the accuracy can be improved over existing statistical methods, such as Fourier Regression Analysis which is commonly used in retail […]

Due to COVID-19, Pagefreezer’s entire workforce has been remote since March 13, 2020, and they do not foresee a return to the office in the near future. An area of improvement that has been identified now that they’re all remote and connecting virtually is concerning business data and analytics. Pagefreezer currently has multiple data inputs […]

BlueNode is a SaaS company focused on the sanitation and analysis of marine shipping data. The research project is focused on increasing the precision and accuracy of shipped goods processed through Canadian ports. Should the research prove to be successful, the technical methods used will be directly incorporated into the BlueNode system.

An important component to every growing retail business is demand forecasting which can affect the strategic plans of a business. The impact extends across the business’ function including budgeting, financial planning, price optimization, sales and marketing plans, capacity planning, staff management, risk assessment and mitigation plans. In this project, we want to apply machine learning […]

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners is often not a straightforward task which often leads to obtaining permission being bypassed. Some landowners do not want hunters, but do not mind […]

The process for responding to tenders is very long, arduous and involves many repetitive tasks. Among these, it is necessary to read the invitation to tender in order to find the different requirements, important dates, legal obligations, constraints of presentation of the response, etc. All of these factors are used for the prequalification of a […]

The intern will provide research support and analysis to assist Divani’s entry into the Augmented Reality industry, where Divani may play the role of technology supplier, service provider, or provider of creative AR products. The intern will investigate existing AR technologies, products, and services that currently available or in development. This insight will be used […]

This project will require the intern to work on business development and operations activities for the organization. Business development activities would include conducting relevant market research and developing product roadmap. Operations related activities could include developing costing models and product management responsibilities.

This study aims to evaluate and measure the impact of a Canadian produced documentary, I am Rohingya, A Genocide in Four Acts. By critically analysing the intended and unintended outcomes of this award-winning documentary, producers whose aim is to enhance their socially minded production process, can learn how to improve their techniques through feedback and […]

House price valuation and forecasting are considered as critical urban problems that aid individuals and organizations to execute a variety of property-related practices such as property purchase and selling, taxation, and mortgage property. This project aims to collect appropriate features for house price modeling and to develop a combined machine learning-graph modeling approach to have […]