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I created a Realtime Voice Assistant for my ESP-32, here is my journey - Part 1 : Hardware, PlatformIO & C++
- This article discusses the hardware and C++ implementation of building a real-time voice assistant using an ESP32 microcontroller. The project merges the worlds of embedded systems and modern AI to create a responsive and intuitive user experience. The C++ implementation focuses on buffer handling, speaker output, microphone handler and button handling. The ESP32 serves as the hub for audio input and output, while a Node.js server handles WebSocket communication for real-time data transfer between the ESP32 and the server. The complete source code is available on Github.
- To bring this project to life, you will need an ESP32-S3 Development Board, an I²S Digital Microphone, an I²S Amplifier, a Small Speaker, a Push Button, Resistors, Jumper Wires, Breadboard and Soldering Equipment. The author explains the hardware setup and implementation in detail and costs less than $40.
- Before setting up the code, it is recommended to use PlatformIO, a powerful open-source ecosystem for IoT development. The author provides a step-by-step guide to building and uploading the code to ESP32 and also troubleshooting tips.
- The article also discusses potential improvements and future steps such as optimizing buffer sizes, enhancing error handling, integrating LEDs for status indication, adding more interactive inputs, and connecting the esp32 to an AI backend. The next phase is to connect our device to an AI backend with Node.js server powered by LangChain and OpenAI to interpret voice commands and generate intelligent responses, which will be part of the second article in the series.
- The article concludes by sharing related projects such as Open Interpreter ESP32 Client and provides additional resources for further learning.
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