Getting Started with Xiaozhi AI ChatBot on ESP32-S3 based Dev Boards
The Xiaozhi AI chatbot is an open-source hardware project based on ESP32 microcontrollers that allows users to build a customizable, voice-activated AI companion.
UNIHIKER is a series of new-generation learning devices specifically designed for exploring artificial intelligence, while also supports coding, scientific exploration, and IoT applications. Equipped with a large color screen, integrated Wi-Fi, Bluetooth, various sensors, and extensive expansion interfaces, they offer a brand-new experience. Currently, the UNIHIKER series includes two models: UNIHIKER K10 and UNIHIKER M10.
M5Stack CoreS3 is a compact, powerful IoT development kit based on the ESP32-S3 dual-core processor, ideal for AI, edge computing, and smart device prototyping. It features a 2-inch capacitive touch IPS display, 16MB flash, 8MB PSRAM, built-in camera, dual microphones, speaker, and multiple sensors including IMU, magnetometer, and proximity sensor. With support for Wi-Fi, USB-C OTG, MicroSD, and Grove/M-Bus expansion, it's programmable via Arduino, MicroPython, or UIFlow, making it a versatile all-in-one solution for embedded and AIoT applications.
Refer the UNIHIKER Documentation website for more information.
Refer the M5Stack Documentation website for more information.
Hardware
Software
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UNIHIKER K10
Jupyter Notebook -
CoreS3
CoreS3 Arduino IDE Tutorial -
Other Quick Start Guides
CoreS3 OpenAI Voice Assistant
CoreS3 XiaoZhi Voice Assistant
CoreS3 Restore Factory Firmware
📕 YouTube Video Links
- We have another series of Overview of UNIHIKER M10
📒 Important Links
📖 Xiaozhi AI Chatbot Official Repo - 🔗 https://github.com/78/xiaozhi-esp32
💾 Firmware for UNIHIKER K10 - 🔗 https://community.dfrobot.com/makelog-317317.html
Hardware Documentation
🌐 Documentation - 🔗 https://www.unihiker.com/
📒 CoreS3 🔗 http://docs.m5stack.com/en/core/CoreS3
📙 https://github.com/make2explore/UNIHIKER-Overview
📙 https://github.com/make2explore/M5Stack-CoreS3
📜 Source Code, Circuit Diagrams and Documentation :
🌐 GitHub Repository - 🔗 https://github.com/make2explore/Xiaozhi-AI
🌐 Hackster Blog - 🔗 https://www.hackster.io/make2explore
🌐 Instructable Blog - 🔗 https://www.instructables.com/make2explore
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
