SOTI SNAP – Fully Automated App to PDF Generation Utility

Businesses today struggle with manual operations such as paper-based processes and copying and pasting information from one system to another. These manual operations are costing companies hours of unnecessary labour, which trickles down to customers that are expecting on demand services. SOTI has developed a software product called SOTI SNAP that allows anyone to create […]

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Geometry Projection Based 3D Object Detection

Unmanned aerial vehicles (UAV) have been deployed in many real-world applications such as payload delivery, agricultural laboring, and aerial photography. Based on GPS-based localization algorithms, these drones have achieved many advancements in industry automation. However, since common GPS receivers do not work indoors, an accurate computer vision (CV) technique is required to resolve the problem […]

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Credit Scoring Using Alternate Data

The objective of this internship is to develop a Retail Credit Risk Scoring Model utilizing different alternate data sources and this model can give a credit score for people who has limited credit footprint. The intern will work on checking alternate data sources availability, Data Preparation, Feature selection, Evaluating models, tuning the model and documentations. […]

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BLH Personalized Smart Wig Simulation and Health Monitoring

Wig is a wearable device that can be used to help with many aspects of our lives. Since it is in close contact with the human body, it makes it a great tool for human health monitoring. This can be done through the hidden sensors in wigs that keep collecting information about physical and mental […]

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Improving statistical literacy and accessibility of big data using dimension reduction

Information and data are more accessible and abundant than ever before, but this presents challenges in the face of rising misinformation and mistrust in science. Large-scale datasets or “big data” is particularly suited to a set of statistical analyses called dimension reduction techniques that can reduce the complexity of a dataset while preserving its information, […]

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Fuzzy Entity Matching

Entity (person or company) matching is an advanced analytics feature used to link entities together by identifying them as being the same entity or closely related entities. This is a powerful feature to augment investigations with additional entities that may be involved in a suspicious case. The goal is to uncover key features that can […]

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Scalable Verification of Imperative Programs

Deductive verification is a subdiscipline of computer science which ensures software reliability and safety by formally modeling and proving program behavior. It is currently difficult to apply by non-experts and scales badly with program size and complexity. Pluggable type systems, which annotate variables and sub-programs with types that describe their expected values and behavior, offer […]

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TimeSerStats

The project aims to help standardize the analysis of time series data by creating an analysis and reporting framework by which time series data regardless of its size, frequency, and/or source can be normalized, analyzed, and reported.

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Optimal Placement of Fault Circuit Indicator to Improve the Reliability of Distribution Systems using CYME Reliability Module

Within the past decades, there has been a significant growth in the electric power systems that have resulted in a large increase in the development of transmission and distribution lines. Distribution system is the final connection between the utility provider and the customers and constitutes a major component of the power system. However, since most […]

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Pharos BSI App

Pharos has a data fusion platform for geospatial and spatiotemporal data. This project will extend the platform to cover additional data sources, such as flood risk data, and allow for the on-demand calculation of decision-relevant metrics. This requires an investigation of the underlying data, methods to combine sources, and development of pipelines for efficient automation. […]

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Autonomous decision making in materials acceleration platforms

Robotic experimentation platforms can enable faster materials discovery and optimization through automation, high throughput experimentation and standardization. However, an exhaustive search of a vast materials space with varying compositions, formulations, and processing conditions is prohibitively expensive. Machine learning algorithms are widely used to learn from experiments performed by automated experimentation platforms and suggest the most […]

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Support groups innovation and community organization

Honest Empathy Innovations Inc. aims to build sustainable mental healthcare solutions with groundbreaking development and innovation in machine learning. We plan to build a next-generation machine learning platform that Canadians can access for their mental health with this project. Our solution is supported by the Canadian Mental Health Association, NEXT Canada, and Yukon Government. Our […]

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