Abstract

In the age of smart devices and the Internet of Things (IoT), the integration of Personal Voice Assistants (PVAs) with advanced AI models like ChatGPT has opened up exciting possibilities for enhancing the capabilities of edge devices. This research paper explores the integration of a PVA with ChatGPT on the ESP32 microcontroller platform, aiming to empower edge devices with natural language processing and conversational intelligence. The suggested PVA creates human-like replies to user queries using ChatGPT, a potent AI language model. ChatGPT has been trained on a massive dataset allowing it to comprehend and react to a variety of requests. The integration of ChatGPT with the ESP32 microcontroller, a low-power and flexible platform for IoT applications, forms the basis of this research. To ensure the seamless cohabitation of AI capabilities within resource-constrained edge devices, the implementation specifics, including model optimization, deployment techniques, and hardware considerations, are thoroughly covered.