Professional Networking and and Intelligent Referral System for the Real Estate Industry

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 […]

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AI-Powered Course and Lesson Generation Platform

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, […]

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Integration of Inflation Signal in Picton Mahoney’s Asset Allocation Models

Picton Mahoney Asset Management (“PMAM”) was founded in 2004 to provide unique investment solutions to institutional, retail and high net worth investors in Canada and around the world. The Multi-Strategy Team at PMAM uses economic cycle models to determine asset allocation preferences across time during different macroeconomic regimes. We have recently incorporated an additional inflation […]

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L2M – Optimizing Energy Efficiency in Sea Transportation Using Machine Learning

Our project tackles the critical challenge of optimizing energy efficiency in electric boats, a vital issue in the growing market of sustainable marine transportation. The primary problem lies in the inefficient energy consumption of electric motors used in electric boats when navigating varying wave conditions, leading to reduced range and increased operational costs. This research […]

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L2M – MicroTrap

Microplastics, plastic particles smaller than 5 millimeters, are observed to have significant negative impacts on human health and the environment as they decompose extremely slowly, release toxic chemicals, and transport contaminants. Among the major sources of microplastics are microfibers, tiny thread-like fibers released during laundry. In Canada and the United States, 878 tonnes of these […]

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L2M – Deep Learning-Based Detection and Classification of Biofouling on Marine Surfaces

The maritime industry faces significant challenges from biofouling—the buildup of marine organisms on vessel hulls—which leads to higher fuel costs, increased carbon emissions, and frequent maintenance. Traditionally, biofouling inspections are manual, costly, and time-consuming, offering limited real-time insights. Our project seeks to address these inefficiencies by developing an AI-powered model to automate the detection and […]

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L2M – Chainfare

The seafaring industry, responsible for transporting over 90% of the world’s goods, faces critical issues with organized money laundering and human trafficking. The International Labor Organization estimates that 24.9 million people are victims of human trafficking, many of whom are trafficked via maritime routes. Additionally, the UN Office on Drugs and Crime (UNODC) reports that […]

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L2M – Advanced Power Electronics Converters for Maximizing Wave Energy Harvesting in Ocean Systems

With its vast untapped potential, wave energy could become the leading source of renewable energy from our oceans. These systems do not produce greenhouse gases, thereby contributing to a reduction in the carbon footprint of electricity generation. With a higher energy density compared to wind, wave energy has significant potential for power generation. However, commercial […]

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L2M – AI-Powered Real-Time Detection: Revolutionizing Harmful Algae Bloom (HAB) Monitoring

The proposal introduces a cutting-edge, real-time solution for detecting and mitigating harmful algal blooms (HABs) using advanced computer vision and AI models integrated with autonomous systems. By leveraging state-of-the-art AI-powered imaging technology, this solution delivers precise species identification and real-time monitoring capabilities that drastically improve response times. Unlike traditional manual sampling methods, this system utilizes […]

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L2M – Using Wave Energy to Charge Electric Boats Without a Traditional Charger.

Recently, there has been a massive transition from internal combustion engine-based boats to electric boats that do not depend on fossil fuels. However, there are some factors hindering the fast pace of this transition. These factors include the bulky charging system, the unavailability of reliable power sources, and the increased operational cost of electric boats. […]

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L2M – A power converter for hybrid renewable energy systems consisting of wave, wind and solar energy to power remote communities in Newfoundland.

The government of Canada has been developing the Clean Electricity Regulations, which aims to reduce CO2 emissions to 45 percent below 2005 levels by 2030 and net-zero emissions by 2050. One main sustainability goal in the global power sector is to generate clean electricity using renewable energy sources. Hydro, Newfoundland and Labrador’s primary electricity generation […]

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