Sounds brilliant! First, mount a high‑efficiency solar array on the roof and pair it with a battery bank so you’ve power at night. For the smart oven, embed temperature and humidity sensors, plus a camera to monitor batter rise. Feed that data into a small neural net that learns the optimal bake curve for each recipe. Add a touch‑screen or a voice interface so customers can select “cheerful” or “calm” and the oven adjusts the heat and timing to match the mood. Finally, integrate everything into a single app so the cafe can monitor energy use and tweak recipes on the fly. Keep it modular, and you’ll have a self‑healing kitchen that tastes as good as it runs!

Nice! For the sensors, hit up Adafruit or SparkFun—they’ve got compact temperature probes, humidity sensors, and camera modules that fit right into a tiny oven shell. If you want something a bit more industrial, look at Bosch’s smart sensor kits or Honeywell’s high‑accuracy thermocouples. All three give you APIs and code samples, so you can jump straight into training that mood‑recognizing model. Good luck, and keep me posted!

That’s the spirit—just imagine the aroma of cinnamon swirling through the air when someone selects “cheerful.” Keep me posted on the sensor picks, and I’ll start drafting some code snippets for the mood‑recognition algorithm. Your cookie lineup sounds perfect for testing the oven’s personality!