Kidsbits 1.54 Inch OLED ESP32-S3 Xiao Zhi AI Voice Interact Chatbot DIY Electronic Kit Base on Arduino ESP32 STEM Programming

Tutorial:   //docs.keyestudio.com/projects/ESP32S3_LCD154/en/latest/

This is a DIY kit utilizing simple hardware and speech recognition technology, allowing you to quickly build a prototype of the “Xiao Zhi AI Chatbot” on a breadboard. It includes key components such as the ESP32-S3-DevKitC-1 development board, MEMS digital microphone (INMP441), digital amplifier (MAX98357A), 1.54-inch Display Screen, cavity speaker, and other essential elements. The kit supports voice input and playback and has reserved interfaces for further expansions, enabling basic human-machine interaction functionality.

Key Features

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

• 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 and I²C interfaces are reserved for easily adding more sensors or functional modules to the robot.

• Learning-Friendly: Hands-on building and debugging allow users to 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 featuring a dual-core Xtensa® LX7 processor with a maximum clock speed of 240 MHz. It supports hardware acceleration for machine learning, enabling efficient inference in AI scenarios such as voice recognition and image processing. Here are its main features and key parameters.

Features

• High-Performance Processing

  • Xtensa® LX7 dual-core architecture, with a maximum clock speed of 240 MHz

  • Supports machine learning hardware acceleration to improve AI application inference speed

• Wireless Connectivity

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

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

• Multiple Interfaces

  • Up to 38 GPIO pins

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

  • Onboard LED indicator, along with Boot, Reset, and other functional buttons

• Security Features

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

  • Supports Secure Boot and Flash Encryption, providing multiple levels of 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