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Qualcomm Arduino Uno Q Hack Night

lumaHosted on Luma

Fetched about 3 hours ago

Friday, July 17, 2026

to Friday, July 17, 2026

Artificial Intelligence

Event Type

in person

Build Local AI on Arduino UNO Q, Hosted by Qualcomm Join Qualcomm and HackerSquad for a hands-on builder night focused on local inference with Arduino UNO Q. UNO Q brings together real-time microcontroller control, a Linux-capable processor, and edge AI in one board, making it a natural platform for building intelligent devices that can sense, decide, and act without relying on the cloud. Hosted by Qualcomm, this event is about getting developers hands-on with the next wave of local AI: computer vision, sound recognition, keyword spotting, sensor-driven automation, robotics, and real-world prototypes that run at the edge. Builders will explore how to use UNO Q as the foundation for AI-powered hardware projects, pairing local models with cameras, microphones, sensors, displays, and control logic. The goal is simple: leave with a working prototype and a clearer sense of what becomes possible when AI moves from cloud APIs into physical devices. This event is for developers, AI builders, hardware hackers, robotics enthusiasts, product engineers, and anyone curious about building local inference applications on real hardware. Bring a laptop, curiosity, and a willingness to build. Snapdragon and Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Arduino and UNO are trademarks or registered trademarks of Arduino S.r.l.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct