Building My DIY AI Tamagotchi Before Meta Even Noticed
While the tech world rushes to package AI into every conceivable device, I decided to take matters into my own hands. The result? A fully functional, AI-powered Tamagotchi built from scratch in a home garage -- no corporate backing, no venture capital, just pure curiosity and a handful of open-source tools.
The Hardware Foundation
The body of the device runs on an ESP32-S3, chosen for its dual-core processing power and built-in display support. Paired with a small TFT touchscreen, the device feels surprisingly responsive for its size. The real magic happens underneath: a lightweight TensorFlow Lite model handles face detection and emotional state inference, all running locally on the microcontroller.
Software Smarts
On the software side, I trained a custom image classification model using a dataset of expressive facial photos. The model outputs four states: happy, tired, stressed, and neutral. These states dictate the Tamagotchi's behavior -- if it detects stress in your face, it might "ask" for a break by displaying a gentle animation.
Why It Matters
This project isn't just a nostalgic trip to the 90s. It's a statement. By building a personal AI companion that runs entirely on-device, I'm keeping data private, avoiding the surveillance economy, and proving that powerful AI doesn't have to live in the cloud. It's a small act of digital sovereignty, and honestly? More people should try it.
Freely curated and adapted from The Verge (mirror) coverage