TRACK 01
AI + Machine Learning
Build intelligent physical systems. Intelligent physical systems.
EDGE AICVSENSORSAUTOMATION
- Computer vision hardware
- AI sensors
05
Build Tracks
Six engineering tracks. Pick a lane, or build across them. Every track accepts hardware-first thinking.
05Six tracks
Build Tracks
TRACK 02
Robotics + Autonomy
Build machines that perceive, decide and act. Machines that perceive, decide and act.
AUTONOMYNAVIGATIONACTUATIONSENSING
- Autonomous robots
- Navigation systems
TRACK 03
IoT + Embedded
Build connected systems. Connected systems.
ESP32ARDUINORPINETWORKS
- ESP32
- Arduino
TRACK 04
Health + Assistive Tech
Use technology to improve accessibility, wellbeing and real-world healthcare workflows. Accessibility, wellbeing, healthcare.
WEARABLESMONITORINGASSISTIVE
- Assistive devices
- Monitoring systems
TRACK 05
Sustainability + Energy
Build physical technology for environmental and energy challenges. Technology for environment and energy.
ENERGYENV SENSINGGRID
- Energy monitoring
- Smart resource systems
TRACK 06
Open Innovation
Build something that does not fit a single category but deserves to exist. Build what deserves to exist.
EXPERIMENTALCROSS-DOMAIN
- Cross-domain systems
- Experimental hardware
01Stack hints
Track Guidance
AI + Machine Learning
- Computer vision hardware
- AI sensors
- Edge AI
- Intelligent automation
EDGE AICVSENSORSAUTOMATION
Robotics + Autonomy
- Autonomous robots
- Navigation systems
- Robotic arms
- Drones
AUTONOMYNAVIGATIONACTUATIONSENSING
IoT + Embedded
- ESP32
- Arduino
- Raspberry Pi
- Sensor networks
- Smart devices
ESP32ARDUINORPINETWORKS
Health + Assistive Tech
- Assistive devices
- Monitoring systems
- Accessibility hardware
WEARABLESMONITORINGASSISTIVE
Sustainability + Energy
- Energy monitoring
- Smart resource systems
- Environmental sensing
ENERGYENV SENSINGGRID
Open Innovation
- Cross-domain systems
- Experimental hardware
- Boundary-breaking builds
EXPERIMENTALCROSS-DOMAIN
Hardware is required in the spirit of the competition: projects should include a meaningful physical, embedded, electronic or device component. Arduino, ESP32 and Raspberry Pi are all natural fits depending on your track.