The M5Stack Cardputer v1.1 is a high-performance card computer featuring a StampS3A microcontroller, 56-key keyboard, 1.14-inch TFT screen, and various interfaces for expansion and control. It's ideal for rapid prototyping, industrial control, and IoT projects.
I'm a dedicated hardware developer with a passion for creating innovative, open-source technology solutions. My focus is on modernizing retro computers, developing communication devices, and advancing keyboard technology. Join the journey to support and contribute to these innovative projects.
The ESP32-AIVoice-Z01 is an affordable ESP32-S3-powered AI voice kit designed for creating voice-controlled AI applications. It features Wi-Fi and Bluetooth connectivity, a dual digital microphone array, and supports wake word detection, noise reduction, and echo cancellation.
Wokwi offers a range of simulators for various microcontrollers and platforms, including Arduino, ESP32, STM32, and Raspberry Pi. It also provides tools for VS Code, CI, and JetBrains, and features a variety of IoT and simulation projects, as well as a selection of Arduino projects.
A Trinket for The Pawn Shop, interacting with an OLED screen and an LED strip, displaying messages and scanning for Bluetooth Low Energy (BLE) devices.
A Flasher utility for DIY miners to flash NerdMiner firmware onto various boards, such as LILYGO S3 Dongle, LILYGO T-Display-AMOLED, ESP32-WROOM, LILYGO T-QT, TDisplay v1.14, ESP32-2432S028R, and M5-StampS3. The flashing process should take less than one minute.
CodeCell is a tiny, Arduino-compatible module with an ESP32-C3, sensors (light, proximity, optional motion), and USB-C charging. Perfect for robotics, wearables, and IoT projects.
The SQFMI Watchy is a fully open-source, hackable ePaper watch based on the ESP32 with a crisp, glare-free 1.54" 200x200 ePaper display which can be programmed using the Arduino IDE and lots of your favourite Arduino/ESP libraries!
This repository contains a star/planets engine in an Arduino library.
Open-source project showcasing a speech-to-text application on a low-cost CH32V003 microcontroller. The application reads audio from an analog microphone, identifies spoken digits 'zero' to 'nine', and logs the results over a serial link.
