Challenge description
Presented by Arduino
The most revolutionary software in the world is useless if it can't feel the world.
Code lives in the abstract. Light, temperature, sound, pressure, motion, humidity—that's reality. Now it's time to build systems that understand the physical one. This challenge asks you to build the bridge between them.
Using the Arduino® UNO™ Q, you'll pull raw, messy, beautiful data from the physical environment around you and turn it into something that matters: a tool that helps someone, an experience that surprises someone, a system that understands the world a little better than it did before.
The best projects won't just visualize sensor data, they'll transform it into meaningful, intelligent experiences.
Your project shouldn't be able to exist without the physical world it senses. If you can remove your sensor and your project still works, start over!
Event schedule
Arduino-led sessions available to HackMIT participants.
Workshop
Get hands-on with UNO Q's dual-brain architecture and discover how to prototype with Edge AI.
Explore the Arduino UNO Q hardware platform and Arduino App Lab IDE through example applications. Get familiar with the board's capabilities, methods for building across its “Dual-Brain” architecture, and effective techniques for prototyping products with edge AI.
Workshop
Teach machines to understand sensor data with AI using Arduino and Edge Impulse—no ML experience required.
Learn how AI models can make sense of sensor data on even the smallest hardware, and why that matters. If you're building with sensors, bring your phone, eyes, and ears to make your project smarter.
Arduino Night Coffee
Take a break from hacking and join an informal conversation about AI, hardware, robotics, and the future of intelligent machines.
Reference links
Official documentation, tutorials, examples, courses, and developer communities.
Hardware setup, tools, tutorials, and inspiration.
Set up your board and learn the UNO Q hardware, features, and workflows.
Open manual 01Discover the development environment for building apps on the UNO Q.
Explore App Lab 02Follow practical guides for boards, sensors, connectivity, and more.
Browse tutorials 03Find community projects, reference builds, and ideas for your hack.
Get inspiredLearn, optimize, and deploy intelligent experiences.
Learn the full journey from machine learning model to deployed application.
View the course 05Access Qualcomm developer platforms, SDKs, documentation, and tools.
Visit the network 06Optimize, profile, and deploy AI models on Qualcomm-powered devices.
Get started 07Connect with other builders and keep up with the Qualcomm ecosystem.
Join the communityTrain sensor-based AI models and deploy them to your UNO Q.
Sign up for Edge Impulse Studio to create and train a sensor-based model.
Open Studio 09Learn how to collect data, build an impulse, train a model, and test it.
Read the docs 10Run an Edge Impulse model on the UNO Q using Arduino App Lab.
View deployment guideEvent information
Visit the official site for general event details and updates.