This project focuses on building the core infrastructure for Farpoint’s new AI-as-a-Service (AlaaS) platform. Two interns will work with Farpoint engineers to create a robust and scalable system using Kubernetes for managing resources and efficiently distributing workload. The interns will also implement load balancing and network routing to ensure smooth handling of high user traffic […]

Small and medium-sized businesses (SMBs) face increasing pressure to remain competitive in a rapidly evolving digital landscape. Many SMBs face obstacles in adopting AI solutions due to limited resources and the complexity of available products, which are often too generalized to meet the specific needs or scale of smaller businesses [1]. Existing AI solutions are […]

This research project deals with the question of using multimedia computer applications for training Nursing students or professionals to identify heart and lung sounds as part of an overall health assessment session. The new design for this Nursing training application will support a wide array of mobile devices, by using novel technologies such as HTML5, […]

This project will enable customers to be able to track their scheduled jobs with technicians on their mobile devices. The work will see the development of an application that can facilitate customers to view the locations of technicians on a map and scheduled appointments with them. The technicians can set their status as “available” and […]

This study aims to assess the improvement in muscle strength in patients with femoroacetabular impingement (FAI) after undergoing hip arthroscopy. FAI can cause severe hip pain and functional limitations, potentially leading to early osteoarthritis. While arthroscopic treatment often have good results, dissatisfaction rates can be as high as 30%. This research investigates the potential benefits […]

Strillence Strategic, a leading strategy and management consulting firm specializing in technology startups, is conducting a comprehensive landscape analysis of the energy storage and bioenergy sectors in British Columbia. This initiative aims to drive innovation and sustainable growth in the province’s clean energy ecosystem.

This research project aims to develop a ready-to-use model for predicting detailed wind patterns at wind farms to help the industry better plan turbine placements and forecast energy output. Wind speed data is usually available at a large, low-detail scale, which makes it hard to predict specific site conditions accurately. Generating high-resolution wind data using […]

Our project aims to revolutionize real estate networking by creating a professional platform exclusively for realtors across Canada and the United States. This dedicated space allows realtors to build their brand, showcase testimonials, and facilitate trusted referrals with fellow agents. Functioning similarly to LinkedIn but specifically designed for real estate, this platform empowers agents to […]

Our project aims to transform real estate training through an innovative AI-powered platform that generates customized course outlines and lessons. Designed for real estate teams and brokerages, this platform enables team leads to prompt AI for training material tailored to specific skills and market demands. By incorporating BASL’s data on team insights and real-world examples, […]

Today’s high performance computers offer the possibility of computing complex large scale computational fluid dynamics (CFD) simulations in a reasonable time. In practice, exploting the thousands of computing cores to achieve the desired solution time is very challenging. These challenges include finding enough work to keep all these cores busy, and assigning work to different […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW