How I built an IoT-enabled artificial nose using TinyML

It was a long weekend, early during the pandemic, and I started to explore how a simple microcontroller coupled with an off-the-shelf, low-cost, gas sensor could help me figure out when my sourdough starter had reached the perfect level of fermentation. Little did I know back then that this tiny device running on an Arm Cortex-M4 would get tremendous traction all around the world, including being used by a 13-year-old kid to help diagnose fungal pneumonia!

Join this session to hear about my journey from not being able to grasp what a neural network even really was in the first place, to building a complete open source and open hardware DIY artificial nose that unlocks a wide variety of applications, in addition to providing a great framework for introducing developers to AI and TinyML. I will also touch on the intersection of AI and IoT—sometimes referred to as AIoT—and share some best practices to make TinyML applications first-class citizens in IoT scenarios.