Building a Virtual Assistant for Raspberry Pi

This new edition of Building a Virtual Assistant for Raspberry Pi will provide new features to your virtual assistant, Melissa, adding advanced capabilities to her. Updated to the latest Python release (Python 3), the book will follow the same structure as its previous edition, with new features discussed as you move forward.
 
After walking you through the various STTs, TTSs and implementation of these components with Python 3, you will learn about Large Language Models (LLMs) and how to run them on Raspberry Pi. You will build applications/modules for Melissa that will be used by the LLM. The book will feature Plugin Architecture Implementation for Melissa, which allows the user to script their own interactions with Melissa.
You will also enable Melissa to interact with resources on the internet. In addition to Melissa's voice-controlled interface for notes management, this edition will also enable Melissa to be intelligent to assist you with your tasks.
Adding to Melissa’s voice interface from the first edition, you will use an LLM to make Melissa intelligent. You will learn about function calling, providing Melissa access to tools. In conclusion, you will make a smart virtual assistant that runs on Raspberry Pi. You will learn the following:




Plugin Architecture Implementations for quicker scripts
Develop modules for having conversations with the assistant
Run LLM locally to make Melissa intelligent
Interacting with public and restricted Application Programming Interface (API)