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Building a virtual assistant for Ras...

Agrawal, Harshil.

Building a virtual assistant for Raspberry Pithe practical guide for constructing a voice-controlled virtual assistant /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building a virtual assistant for Raspberry Piby Harshil Agrawal, Tanay Pant.
Reminder of title:	the practical guide for constructing a voice-controlled virtual assistant /
Author:	Agrawal, Harshil.
other author:	Pant, Tanay.
Published:	Berkeley, CA :Apress :2025.
Description:	xvii, 133 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Application softwareDevelopment.
Online resource:	https://doi.org/10.1007/979-8-8688-1760-1
ISBN:	9798868817601$q(electronic bk.)

Building a virtual assistant for Raspberry Pithe practical guide for constructing a voice-controlled virtual assistant /
Agrawal, Harshil.

Building a virtual assistant for Raspberry Pithe practical guide for constructing a voice-controlled virtual assistant /[electronic resource] :by Harshil Agrawal, Tanay Pant. - Second edition. - Berkeley, CA :Apress :2025. - xvii, 133 p. :ill., digital ;24 cm. - Apress pocket guides,3004-9288. - Apress pocket guides..

Chapter 1: Introduction to Virtual Assistants -- Chapter 2: Understanding and Building an application with STT and TTS -- Chapter 3: Making Melissa Intelligent -- Chapter 4: Introducing Plugin Architecture -- Chapter 5: Get Top Tech Stories From Hacker News -- Chapter 6: Melissa, Tell Me The Weather! -- Chapter 7: Saving Notes from Melissa -- Chapter 8: What More Can You Build? -- Chapter 9: Integrating The Software With Raspberry Pi, And Next Steps.

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).

ISBN: 9798868817601$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-1760-1doiSubjects--Topical Terms:

189413
Application software
--Development.

LC Class. No.: QA76.8.R15

Dewey Class. No.: 006.3

Building a virtual assistant for Raspberry Pithe practical guide for constructing a voice-controlled virtual assistant /
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520 $a 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).
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