Incoming transmission // Hāwea, Aotearoa

DON'T JUST USE
TECHNOLOGY.
UNDERSTAND IT.

A hands-on invention course for curious young minds. Build mesh radios, wire sensors, program tiny computers, diagnose real faults and learn how to learn—with AI as a tool, not a substitute for thinking.

0weeks
$10suggested / session
possible inventions
MESH NODE
915 MHzLoRaNODE 07
ESP32ONLINE
SENSOR23.7°C
AI LINKREADY
MESHTASTIC ESP32 LORA RADIO SENSOR NETWORKS SOLAR POWER AI LEARNING TROUBLESHOOTING FARM TECHNOLOGY
01 // SYSTEMS WE WILL EXPLORE

REAL COMPONENTS.
REAL SIGNALS. REAL DISCOVERY.

Every session connects theory to something physical you can hold, measure, program, break, diagnose and improve.

A01

Mesh communication

Build off-grid Meshtastic nodes that relay messages across hills, farms and communities without cellular coverage.

LoRa • RF • Antennas • Networks
A02

Tiny computers

Program ESP32 devices, understand GPIO, inputs, outputs, buses and how software turns electricity into behaviour.

C++ • MicroPython • Wi-Fi • BLE
A03

Sensors & evidence

Measure temperature, humidity, soil, water, movement and signal strength—then make the data useful.

I²C • ADC • Calibration • APIs
A04

Power anywhere

Learn batteries, solar charging, sleep modes and energy budgets so inventions can survive outside.

Volts • Amps • Watts • Efficiency
A05
>_

Code that touches Earth

Send readings to a server, create dashboards and connect hardware to real farm and environmental systems.

JSON • HTTP • Linux • Data
A06

AI as a thinking tool

Ask stronger questions, test assumptions, read datasheets, debug failures and verify answers instead of blindly copying them.

Prompting • Reasoning • Verification
02 // 12 AREAS TO EXPLORE

A TOOLKIT FOR
BUILDING REAL INVENTIONS.

These are not fixed one-topic-per-week lessons. We will touch on all twelve areas, then develop and focus on the projects and skills the kids are most excited about.

Voltage, current, resistance and the multimeter

Build a working circuit, learn to measure before guessing, and discover why smoke is usually a late diagnostic signal.

A tiny computer with physical senses

Flash firmware, blink outputs, read buttons and understand the boundary between software and hardware.

Send information through invisible space

Explore frequency, range, antennas, interference, packets and why LoRa can reach where Wi-Fi cannot.

Create an independent community mesh

Configure nodes, channels and roles, then test how messages hop from device to device around Hāwea.

Turn the physical world into data

Connect temperature, humidity and soil sensors; inspect noisy readings and learn why calibration matters.

Detect motion and control physical outputs

Use accelerometers, relays, servos or small motors to make a device react to its surroundings.

Make devices last beyond the workbench

Calculate energy use, compare batteries, experiment with deep sleep and design a solar-powered node.

Send measurements into the wider world

Transmit JSON to a Perl server, inspect requests and display live device data in a browser.

Ask, test, challenge and verify

Use ChatGPT to interpret errors, compare designs and form experiments—while learning to catch confident nonsense.

Break things intelligently

Diagnose planted faults using schematics, logs, measurements and disciplined troubleshooting.

Build something locally useful

Create a farm sensor, flood alert, weather node, wildlife monitor, gate notifier or entirely new invention.

Prove it outside the laboratory

Deploy, observe, improve and demonstrate the finished systems to family and community.

THE ACTUAL SUBJECT

LEARNING HOW TO LEARN.

Technology changes. The durable skill is knowing how to observe a system, ask the right question, find trustworthy information, design an experiment and keep going when the first attempt fails.

“The goal is not to memorise every answer. It is to become someone who can find, test and build the answer.”
MENTOR_PROFILE.EXE
LOCAL INVENTOR
HĀWEA // NZ
YOUR GUIDE THROUGH THE UNKNOWN

TAUGHT BY A PRACTISING INVENTOR.

This is not a classroom simulation. Sessions draw from real work across electronics, wireless networks, CNC machines, solar systems, geodesic structures, ESP32 sensors, farm technology, software, APIs and artificial intelligence.

20+ years codingElectronicsFarm IoTMesh radioAI toolsBuild-first teaching
03 // OPEN CHANNEL

IS THIS YOUR
KIND OF SIGNAL?

We are gauging interest before locking in dates, times and the exact age range. Tell us who you are and what you would most like to build.

  • Approximately 12 weekly sessions
  • Based around Hāwea / Wānaka
  • Suggested contribution: $10–$20 per session
  • No previous experience required
SIGNAL FORM01 / 03

Who is interested?

What sparks curiosity?

Choose any areas of interest

Help us shape the course.