Recommendation system for retail shopping

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

Read More
Equity in learning opportunities: Reexamining issues of poverty

For the past fifteen years, People for Education has surveyed schools about measurable resources in order to understand the impact of policy on schools, and to track changes in the education system. Public education can and should play an important role in reducing the extent to which students’ socio-economic background affects their performance in schools […]

Read More
Role of Fluid Redistribution in the Pathogenesis of Sleep Apnea

Obstructive sleep apnea (OSA) is a common respiratory disorder in adult popUlation where it increases the mortality risk. The main treatment of OSA is continuous positive airway pressure and although it is effective in most cases, many cannot tolerate it. Therefore, it is important to develop new treatments for sleep apnea. We have proposed that […]

Read More
Development of a bacterial detection assay for point-of-care infection monitoring

Ineffective diagnosis of bacterial infections leads to excess healthcare costs of $25 billion/year worldwide due to transmission of infections while waiting for diagnosis, unnecessary antibiotic treatments and resulting increased drug resistance, etc. Point-of-care molecular testing can help provide timely and effective diagnoses leading to better (and more cost-effective) patient management. Markets where point-of-care testing would […]

Read More
UV Mapping Assistance through Deep Learning

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D […]

Read More
Cryptocurrency Index Research

Cryptocurrency markets exhibit highly chaotic behaviour, differing substantially from securities. This research project looks at the cryptocurrency markets for data–aiming to answer if it possible to create mathematical models which track the overall behaviour of the Cryptocurrency Market, while minimizing risks. Through this research we expect to reconcile the theory developed above with the real […]

Read More
Exposure to Multiple Pesticides and Risk of Multiple Myeloma in Canadian Men

Multiple myeloma (MM) is the second most common hematological cancer in Canada, affecting an estimated 2,300 people in 2011. Farm work is most consistently associated with an increased risk of MM. Occupational exposure to pesticides has been linked to increased MM risk in Canadian and European studies. Previous investigations mostly focused on individual pesticide exposures, […]

Read More
Voice Cloning Optimization

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]

Read More
Machine learning modelling of temporal enterprise data

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]

Read More
Prediction of Optimal Business Structure for Tax Efficiency

With the growing relevance of data, PwC has embraced Data & Analytics as part of its culture. The Tax practice, specifically, strives to bring value to market by empowering domain experts with automation and data-driven services. Among their initiatives, the Tax Technology team is investigating methods to evaluate the quality of corporate tax returns (T2). […]

Read More