Overview:
ESP32-S3-WROOM is a small but powerful controller with onboard wireless and camera.
This kit helps you learn ESP32-S3, LVGL GUI library and connection with AI (LLM).
We provide free technical support to help you with any questions and problems.
Main Features:
* Talk to AI (LLM)
Continuous and natural communication, just like talking to a human, without needing to press a button or say a wake-up word.
Notes:
Service provided by OpenAI / XiaoZhiAI, registration and login required, may be unavailable in some regions.
OpenAl: Paid service with a minimum of $5 for tokens, wide country / language support.
XiaoZhiAl: Free service, limited country / language availability.
(Please refer to tutorial for details.)
* ESP32-S3-WROOM board
Dual-core 32-bit microprocessor up to 240 MHz, 16 MB flash, 8 MB PSRAM, onboard 2.4 GHz Wi-Fi and Bluetooth 5 (LE), camera.
(Comes with 1GB memory card and card reader.)
* Media extension board
1.14 inch colorful screen (135 x 240 pixels), five-way navigation switch, RGB LED, power button, microphone, speaker, 3.5 mm audio output, battery connector.
(Comes with 3D printed shell.)
* Tutorial and code
Example projects for ESP32-S3 and Media Board, LVGL GUI library, and connection with AI. (Download needed, no paper tutorial.)
You can download them before purchasing:
http://freenove.com/fnk0102
* Comprehensive project
An embedded system example with RGB LED controller, camera, gallery, music player, voice recorder.
Contents of Main Tutorial:
Preface
Chapter 0 Assembly
Chapter 1 LEDPixel Test
Chapter 2 Battery Voltage Detection
Chapter 3 5-Way Navigation Switch Test
Chapter 4 Memory Card Read & Write Test
Chapter 5 Simple Tone Test
Chapter 6 Play MP3 Test
Chapter 7 Video Web Server
Chapter 8 TFT Clock
Chapter 9 Camera TFT Test
Chapter 10 Record Test
Chapter 11 ESP32_SR
Chapter 12 LVGL
Chapter 13 LVGL LEDPixel
Chapter 14 LVGL Camera
Chapter 15 LVGL Picture
Chapter 16 LVGL Music
Chapter 17 LVGL Sound Recorder
Chapter 18 LVGL Multifunctionality
Chapter 19 LVGL Multifunctionality UI
What's Next?
Contents of OpenAI Tutorial:
Please refer to tutorial for details.
Contents of XiaoZhiAI Tutorial:
Please refer to tutorial for details.
