Smart AI Applications: Integrating Raspberry Pi 3 with NLP for Edge Computing

Artificial intelligence (AI) is used in many ways by the modern world. It can be used to effectively manage complex issues in a wide range of industries, including banking, education, entertainment, and healthcare. The efficiency and convenience of daily lives are being enhanced by AI. Artificial intelligence's natural language processing (NLP) branch enables machines to understand, generate, and respond to human language. The integration of Raspberry Pi 3 and advanced natural language processing models represents a significant advance in the development of intelligent systems. The feasibility of interfacing Raspberry Pi 3 with an LLM such as Google's Gemini is explored by this research. The aim of this study is to provide an efficient and compact solution for AI-based applications. In this study, system architecture, methodology, performance evaluation under different workloads and challenges are discussed. The results are shown to indicate that LLMs cannot be locally hosted by the Raspberry Pi 3, and it is effectively served as a client for cloud-based models. The average achieving response times are reported to be under 1.5 seconds for typical queries. The potential of combining edge computing with cloud-hosted LLMs for applications in IoT, education, and robotics is highlighted by this work, while the need for future advancements in model optimization and hardware capabilities is underscored.