Build real-world projects with Micro:bits, Raspberry Pi, ESP32, sensors, motors, and solar power. Work in small groups, teach each other, and build your portfolio.
Six interconnected strands from beginner to advanced. Each group rotates through strands, building skills and teaching the next group.
Send sensor data wirelessly from Micro:bits to a Raspberry Pi gateway, visualised on a Node-RED dashboard accessible from any phone on the intranet.
Build and drive a motor-controlled vehicle using a Micro:bit motor driver board, remote-controlled by a second Micro:bit via radio.
Use ESP32 microcontrollers with temperature, humidity, light, and pressure sensors. Data feeds into the shared Node-RED dashboard over Wi-Fi.
Go beyond sensing: control servos, fans, relays, and LEDs based on sensor data. Build complete sense-decide-act systems.
Harvest solar energy to power microcontrollers. Learn about photovoltaic cells, charge controllers, battery management, and sustainable computing.
Deploy long-range, low-power sensor nodes for precision agriculture. LoRa radio sends field data to your gateway and Node-RED dashboard — real IoT at scale.
Small groups rotate through strands, building expertise and passing knowledge to the next team.
Your group picks up a strand. Follow the project guide, build, experiment, and debug.
Complete your project and record everything on your digital project card for your portfolio.
Pass the baton: teach the next group what you learned. Your project card becomes their starting point.
Move to the next strand. Each rotation builds on your growing skills and confidence.
Jump to the resources you need.
Record your work, reflections, and evidence. Your cards build into a portfolio you can share with teachers and parents.
See how your projects connect to Science, Maths, Geography, DT, English, and Art across the curriculum.
Air Quality & CO2, Heart Rate, UV Exposure, Water Quality. Advanced sensor projects for groups who've mastered the core strands.
Design your logic in FlowCode (pseudocode, Python, MicroPython), then implement on hardware in ArduinoFlow.
Each strand page lists exactly what hardware, sensors, and tools you need. Check before your session.