Projects

Taking piano lessons to the future with artificial intelligence, computer vision, and audio data processing.

Allows students to submit school related documents of various file types. They can ask questions about them and receive chatbot-like responses to help stay organized.

Transforming Chaos into Clarity with NLP-Powered Note Organization.

An advanced chatbot system developed by Mac AI, utilizing cutting-edge generative AI technologies to efficiently handle a wide range of inquiries from students, replacing the need for human intervention and reducing delays in resolving queries.

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The Traffic Hotspot project is a collaboration between Mac AI and the Beasley Neighbourhood Association of Hamilton. The project will be a website with live data consisting of the interactions of different types of vehicles, cyclists, pedestrians, and mobility devices and the surrounding environment using YOLOv5 and Deep SORT for the tracking and an IoT Raspberry Pi for the image capture.

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The Style Transfer GAN project intends on generating new-high-resolution image from the content of one image with style of another, utilizing the generation speeds of GAN technology.

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The Radiology and AI project is in collaboration with McMaster’s very own radiology department, focusing on training AI models using MRI scan’s of the brain to identify and characterize various tumors by building tools for assisting radiologist and clinicians in providing accurate treatment to cancer patients.

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The Autonomous Vehicle Project is creating an autonomous vehicle simulation in the form a video game, equipping the vehicle with the ability to identify nearby objects during traversal using computer vision and reinforcement learning algorithms.

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The ImageISP is a deep learning project intended on processing the image taken by a smart phone camera and removing noise & image artifacts in order to produce a higher detailed image.

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Mac AI’s team, led by Senior Project Manager Xiaohong Liu, won third place of the Demoireing challenge burst track at the international NTIRE 2020 computer vision conference in Seattle. The project uses a fully integrated attention mechanism, as well as U-nets and PCD. Read more about the novel architecture in the report!

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FishEye is a fourth-year thesis project undertaken by Victor Blaga and Andrew Garven, and currently being implemented in McMaster’s ABEL lab to automatically detect and track experimental footage. Specifically, the program uses YOLOv3 to track fish behavioural assays in real time, relieving undergraduate students of an otherwise mundane and time-consuming task.

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Software engineering undergraduate student and Mac AI project manager Jay Mody is leveraging AI to fight online misinformation. He placed 1st in the first round and 4th overall in the Leader’s Prize, Canada’s largest AI competition offering $1,000,000 to the team or individual that best automates the detection of fake news using AI.