This step‑by‑step guide will walk you through building a fully functional indoor air quality monitor using the Sensirion SEN66 environmental sensor. You’ll learn how to capture real‑time measurements — such as temperature, humidity, and particulate matter — and automatically send that data to an external display for easy viewing.

The project leverages WipperSnapper firmware and Adafruit IO Actions, allowing you to set up powerful data collection, visualization, and automation features without writing a single line of code. By the end, you’ll have a reliable, connected air quality monitor that can:

• Continuously track indoor environmental conditions
• Display live readings on a remote display, or view in a browser
• Trigger alerts or actions when air quality changes
• Log historical data for trend analysis

Whether you’re a beginner looking for a no‑code IoT project or an experienced maker wanting a quick, polished build, this guide will help you combine No-Code WipperSnapper firmware with Adafruit IO Actions to create a powerful little air quality monitor.

What is WipperSnapper?

WipperSnapper is a firmware designed to turn any WiFi-capable board into an Internet-of-Things (IoT) device without programming a single line of code. WipperSnapper connects to Adafruit IO, a web platform designed (by Adafruit!) to display, respond, and interact with your project's data.

Simply load the WipperSnapper firmware onto your board, add credentials, and plug it into power. Your board will automatically register itself with your Adafruit IO account.

From there, you can add components to your board such as buttons, switches, potentiometers, sensors, and more! Components are dynamically added to hardware, so you can immediately start interacting, logging, and streaming the data your projects produce without writing code.

Parts

There are two projects within this one guide. You can easily just create the SEN66 part of the guide and view the data from a browser. Or you can create the external display to view the data right from your desk. If you want to create both, you will need 2x QT Py, 2x NeoPixel Sticks (optional).