Featured Resource
Featured Case Study
Toronto Visual AI Hackathon
March 22, 2025 | 8 AM – 9 PM
When and Where
March 22, 2025 | 8:00AM – 9:00PM
Toronto Metropolitan University
Kerr Hall
Rooms KHE 117
Toronto, ON M5B 2K3
Bring your laptop. Snacks and refreshments will be available!
Register for the Hackathon
Visual AI Hackathon at Toronto Metropolitan University
Join us for an exciting hackathon where ML enthusiasts and college students alike will come together to tackle real-world challenges in the field. With prizes, food, refreshments, and swag, participants can expect an immersive experience filled with learning, networking, and the opportunity to showcase their skills. Whether you’re a beginner eager to explore foundational concepts or an intermediate looking to add flair to your projects, this event offers something for everyone.
Attend workshops during the hackathon to learn some of the best practices in Computer Vision and ML. Judges, including industry experts, will evaluate submissions across various levels, with prizes awarded to the most innovative solutions. Don’t miss out on this chance to collaborate, learn, and contribute to the vibrant AI community.
Come build projects, engage with fellow enthusiasts, and be part of the future of machine learning
What you can expect
🚀 Tech Talks: Deep dive tech talks on Computer Vision and Data-Centric AI.
🔧 Hands-on Workshops: Learn how to build AI applications through code examples
🏅 Engaging Challenges: Tackle real-world problems with AI solutions.
🤝 Networking Opportunities: Connect with fellow developers, builders, and industry experts.
🎁 Exciting Prizes: Demo your projects and compete for cash prizes.
Join one of our three tracks
🧭 Level 0 – Beginner: For those who are just getting started on their ML Journey!
🛞 Level 1: – Intermediate: For those familiar with some Data Science or ML practices, but looking to level up!
🔥 Level 2 – Expert: For those who are the frontier of ML or Computer Vision today looking to make a positive impact!
Hosts / Instructors
Ali Faraji
York University and IEEE Toronto
Ali Faraji is a passionate ML researcher. His work spans across academic and industry settings, where he has applied advanced technologies to build accurate and safe predictive models. He holds an M.Sc. in Computer Science from York University, where he focused on Machine Unlearning Problem. He also has a passion for open-source/weight initiatives and always supporting them.
Harpreet Sahota
Voxel51
Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.
Steve Pousty
Voxel51
Steve Pousty is a dad, partner, son, a founder, and a principal developer advocate at Voxel51. He can teach you about Computer Vision, Data Analysis, Java, Python, PostgreSQL, Microservices, and Kubernetes. He has deep expertise in GIS/Spatial, Remote Sensing, Statistics, and Ecology. Steve has a Ph.D. in Ecology and can be bribed with offers of bird watching or fly fishing.
Ali Faraji
York University and IEEE Toronto
Harpreet Sahota
Voxel51