This project provides a commercially viable AI solution by integrating Gizwits AIOT with Coze, targeting developers and businesses looking to create smart, voice-controlled IoT devices. It enables the creation of sophisticated AI agents that can interact with hardware and perform complex tasks, offering a flexible platform for custom AIoT product development.

How It Works

The solution leverages a combination of technologies including MQTT for communication, Coze for AI agent orchestration, and ESP-IDF for embedded firmware development. It supports streaming voice conversations via WebSocket with multiple language recognition capabilities, powered by large language models (LLMs) like Qwen, DeepSeek, and Doubao. The system allows for configurable prompts, voice tones, and short-term memory for conversational context.

Quick Start & Requirements

• Installation: Requires setting up the ESP-IDF development environment (version 5.3 or above) with Cursor or VSCode.
• Prerequisites: ESP32-S3, ESP32-C3, ESP32-P4, or ESP32-C2 chip platforms are supported. Various open-source hardware boards are compatible, including those from LCSC, Espressif, M5Stack, and others.
• Documentation: Links to developer documentation for board customization, IoT control modules, and agent deployment are available.

Highlighted Details

• Supports Wi-Fi and Cat.1 4G connectivity.
• Features boot key wake-up and interruption with click and long-press triggers.
• Includes offline voice wake-up and multi-language speech recognition (Mandarin, Cantonese, English, Japanese, Korean).
• Supports OLED/LCD displays for signal strength or conversation content, including image display.

Maintenance & Community

The project acknowledges contributions from 78/xiaozhi-esp32 and xinnan-tech/xiaozhi-esp32-server. Further community and roadmap details are not explicitly provided in the README.

Licensing & Compatibility

The README does not explicitly state the license type. Compatibility for commercial use is implied by the "commercially viable AI solution" claim, but specific licensing terms require further investigation.

Limitations & Caveats

The project is presented as a "commercially viable AI solution," but specific details on testing, production readiness, and long-term support are not detailed. The primary development environment is recommended to be Linux for better performance and fewer driver issues.