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It was a long weekend of May 2020, 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.
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 & 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.
Lessons learned from building a connected artificial nose using TinyML