Three machines, one philosopher: Pi Zero body in a plush toy, laptop brain, local LLM mind. Fully private AI you can hug. Open source.
D&D's barrier is the Dungeon Master, the UNO Q does it instead: STM32 for instant physical input, Linux core for offline AI.
Build a fully offline ESP32 voice assistant using Edge Impulse and an I²S mic. Runs local ML inference for fast, private voice commands.
In this project. I will show How you can make your esp32-S3 xiaozhi ai voice Assistant and chatbot step by step. I think easiest way to make
This project combines embedded systems and AI inference to create an end-to-end conversational assistant. The ESP32 handles real-time audio
A social robot that adapts communication, activities, and interaction difficulty to the user's attention and emotional needs.
Turn any ESP32-S3 into an offline voice-controlled device. Simply create your own English voice commands in a web interface—no coding.
I made a device through which a visually impared child can learn Braille Script on they own any where, any time and without a teacher.
I built a tiny conversational AI as an esp32 gadget. Just hold the button, speak, and in seconds an AI will respond, no phone screen needed
PolyGlot turns any restaurant global: an AI-driven digital board that speaks every diner’s language in real time
A voice-enabled device that listens to your craving, recommends matching dishes, and lets you select and order them with simple controls.
A tiny CoreS3 companion that finds personalized stopovers, talks through two characters, and dances when the music starts.
A wearable M5StampS3 BAT console that turns a spoken thought into a synchronized task before a phone can distract you.
If you have data from real-time ambient noise monitoring, it needs to be contextualized a sound recognition device.
