Featured Resource
Featured Case Study
Visual AI Hackathon at ASU
February 15, 2025 | 10 AM – 5 PM
When and Where
February 15, 2025 | 10 AM – 5 PM
Arizona State University
University Gateway Building
Rooms 315 and 411
947 S Mill Ave
Tempe, AZ 85287
Bring your laptop. Snacks and refreshments will be available!
Visual AI Hackathon at ASU
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
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.
Pavan Turaga
Professor and Director at School of Arts, Media and Engineering
Pavan Turaga is Director of the School of Arts, Media, and Engineering, and a Professor with a joint appointment in Electrical Engineering (ECEE) at Arizona State University.
His research is housed at the Geometric Media Lab (GML) at ASU, where they host many students from computer science, media arts, electrical engineering and more. The work at GML is interdisciplinary, with motivating applications in autonomous systems, health systems, and scientific applications, with theoretical roots in machine learning, geometry, and topology. Data representing 3D spatial, 2D imaging, 1D time-series are all of interest to them.
Dan Gural
Machine Learning Engineer and Developer Evangelist