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Keyestudio Xiao Zhi AI Voice Interact Chatbot Breadboard DIY Electronic Kit Base on Arduino ESP32-S3-DevKitC-1 Development Board

Keyestudio Xiao Zhi AI Voice Interact Chatbot Breadboard DIY Electronic Kit Base on Arduino ESP32-S3-DevKitC-1 Development Board

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Specifications

Brand Name
keyestudio
Origin
Mainland China
High-concerned chemical
None
Condition
New
Type
Voltage Regulator
Supply Voltage
1.8V ~ 3.3V
is_customized
Yes
Operating Temperature
0-40
Application
Speaker
OLED Resolution
128*32
OLED Driver Chip
SSD1306

Product Description

Tutorial: //docs.keyestudio.com/projects/ESP32S3_128X32/en/latest/

This is a DIY kit that allows you to quickly build a prototype of the “Xiao Zhi AI Chatbot” on a breadboard, using simple hardware and speech recognition technology. It includes key components such as the ESP32-S3-DevKitC-1 development board, MEMS digital microphone (INMP441), digital amplifier (MAX98357A), 128x32 OLED screen, and cavity speaker, supporting speech input and playback, with reserved interfaces for further expansion to achieve basic human-machine interaction functionality.

Features

  • Easy Setup, Quick to Get Started: All components can be plugged into the breadboard without complex soldering techniques.

  • Voice Input: Built-in MEMS digital microphone (INMP441) effectively reduces environmental noise interference.

  • Audio Output: The combination of digital amplifier (MAX98357A) and cavity speaker provides clear speech playback.

  • Expandable: Extra GPIO, I²C, and other interfaces are reserved for easily adding more sensors or functional modules to the robot.

  • Learning-Friendly: By building and debugging hands-on, users can gain a deeper understanding of the basic principles of AI voice recognition and playback.

ESP32-S3-DevKitC-1 Development Board

The ESP32-S3-DevKitC-1 is a high-performance development board based on the Espressif ESP32-S3 series chip, integrating 2.4 GHz Wi-Fi and Bluetooth 5.0/BLE wireless connectivity, and equipped with a dual-core Xtensa® LX7 processor running at a maximum of 240 MHz. It supports hardware acceleration for machine learning, enabling efficient inference in AI scenarios, such as voice recognition and image processing. Below are its Features and key parameters.

Features

  • High-Performance Processing

    • Xtensa® LX7 dual-core architecture with a maximum frequency of 240 MHz

    • Supports machine learning hardware acceleration, enhancing the inference speed of AI applications

  • Wireless Connectivity

    • Integrated 2.4 GHz 802.11 b/g/n Wi-Fi

    • Supports Bluetooth 5.0 and Bluetooth Low Energy (BLE), facilitating short-distance communication in various scenarios

  • Abundant Interfaces

    • Up to 38 GPIO pins

    • Built-in various communication protocols: ADC (12-bit), DAC, PWM, I2C, SPI, UART, etc.

    • Onboard LED indicator light as well as Boot, Reset, and other functional buttons

  • Security Features

    • Hardware encryption engine (AES, SHA, RSA, etc.)

    • Supports Secure Boot and Flash Encryption, providing multi-layer protection from hardware to firmware

  • Low Power Design

    • Standby power as low as approximately 10 μA, optimized power consumption during Wi-Fi operation

    • Suitable for battery-powered projects or projects requiring long battery life

  • Development Ecosystem

    • Supports Arduino IDE for quick onboarding

    • Compatible with ESP-IDF, PlatformIO, and other advanced development frameworks, facilitating custom projects

Pros & Cons

Pros

  • Complete DIY kit with ESP32-S3 for AI voice chatbot.
  • Breadboard-friendly with OLED display and speaker app.
  • Detailed tutorials for easy Arduino-based prototyping.
  • Customizable and educational for electronics enthusiasts.

Cons

  • Requires soldering/assembly skills, not plug-and-play.
  • Limited temp range 0-40°C for operation.
  • No high-concerned chemicals but voltage specific.
  • China origin, potential long shipping for components.

Common Questions

What development board powers this AI voice kit?

Based on Arduino-compatible ESP32-S3-DevKitC-1 with 1.8V-3.3V supply.

What is the OLED screen size and resolution?

128*32 resolution OLED with SSD1306 driver chip for display.

Is this DIY kit compatible with breadboard prototyping?

Yes, designed for breadboard assembly with speech recognition tech.

How to use this Xiao Zhi AI chatbot kit?

Build voice interact prototype; tutorials at docs.keyestudio.com for ESP32S3.

Shipping and operating temp for this electronic kit?

New condition from Mainland China; operates 0-40°C.

Product information last updated on January 5, 2026