Visual AI Hackathon at University of Michigan-Dearborn
Jan 31, 2025 at 9 AM to 6 PM Eastern
Register for the Hackathon
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Visual AI Hackathon at University of Michigan-Dearborn
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!
When and Where
9:00 AM – 6:00 PM Eastern
University of Michigan-Dearborn
ELB Atrium, Tony England Engineering Lab Building
4901 Evergreen Rd
Dearborn, MI
Bring your laptop. Snacks and refreshments will be available!
Hosts / Instructors
Dan Gural
Machine Learning Engineer and Developer Evangelist
Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.
Steve Pousty
Machine Learning Engineer
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.