Using Edge Impulse platform's latest addition to list of fully supported boards, Pico RP2040 and Sensor Fusion feature to read the data from VOC Gas and Temperature and Humidity sensors, run them through a neural network model on the device to get an early warning if food burning is detected in the kitchen.
If repeating the experiment, exercise caution!

P.S. I apologize in advance for less-than-optimal sound quality: it's the first time I'm making video in my ad-hoc studio and I didn't realize there was a noise problem until after I finished recording everything...

Links:
Github repository
https://github.com/AIWintermuteAI/exa...

Edge Impulse Public Project
https://studio.edgeimpulse.com/public...

Edge Impulse Blogs
https://www.edgeimpulse.com/blog/sens...
https://www.edgeimpulse.com/blog/anno...

Materials mentioned in the video
https://www.true-builders.com/blog/5-...
https://pubmed.ncbi.nlm.nih.gov/31810...
https://www.ncbi.nlm.nih.gov/pmc/arti...
https://en.wikipedia.org/wiki/Volatil...
https://www.epa.gov/indoor-air-qualit...