AI/ML Web App Development for Everyone: A 5 Day Beginner Guide to Build ChatGPT Voice Assistant Understands 97 spoken languages (How to Do AI Book 1)

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(as of Aug 24, 2025 16:25:02 UTC – Details)

A 5-Day Beginner’s Guide to Build ChatGPT Voice Assistant Understands 97 spoken languages

AI/ML Web App Development for Everyone provides a step-by-step guide for anyone to develop their own AI/ML web application, regardless of their technical background. Through hands-on tutorials, expert advice, and best practices, readers will gain a thorough understanding of the fundamental concepts of AI/ML web app development, as well as the essential tools and programming languages required to build a web app. By the end of the book, readers will be able to build a fully functional voice assistant that can understand many spoken languages and can interact with ChatGPT via voice, and deploy their web app to the cloud.

What you will learnDevelop your own AI/ML web application, even with limited technical background.Understand the fundamental concepts of AI/ML web app development, including essential tools and programming languages, through step-by-step tutorials, best practices, and expert advice.Build a voice assistant that understands 97 different spoken languages and can interact with ChatGPT via voice.Deploy your voice assistant web app to the cloud using Streamlit Share.Where and how to explore and access additional resources for further exploration in AI/ML developmentWho this book is for

This book is for a diverse audience, including non-engineers, engineers, hackathon teams, college students, and teenagers. Non-engineers can gain a strong understanding of AI/ML development for their personal or business projects, while hackathon teams can develop their own AI/ML web app using the clear explanations and detailed tutorials. College students and teenagers can use this book as a comprehensive and accessible guide to AI/ML web app development.

Table of ContentsIntroductionA. Introduction to AI/ML and its applicationsB. Overview of the book, its goals, and target audienceDay 1: Fundamentals of AI/ML web appsA. Examples of AI/ML web appsB. Understanding the data requirements for AI/MLC. Defining business requirements for AI/ML web appD. Key components of an AI/ML web applicationDay 2: Setting up development environmentA. Overview of tools for AI/ML web app developmentB. Setting up the development environmentC. Using VS Code IDE (Integrated Development Environment)Day 3: Python and Streamlit developmentA. Understanding the basic python programmingB. Introduction to Streamlit and its componentsC. Building a simple Streamlit web app step-by-stepD. Docker containerizes your web app for easy deploymentE. Best practices for Python and StreamlitDay 4: Build a ChatGPT voice assistantA. Key components of a voice assistant systemB. Defining the user interface of the voice assistantC. Transcribe 97 spoken languages with Whisper ASR modelD. Calling the ChatGPT API to get its responseE. Using text-to-speech to speak ChatGPT response backF. Complete code of the ChatGPT voice assistantDay 5: Share your web app with the worldA. Cloud deployment overviewB. Preparing the web app for Streamlit Share deploymentC. Deploying the Streamlit app to the Streamlit Share cloudSummary and advanced topics for further explorationA. Recap of key concepts and takeawaysB. Advanced topics for further explorationC. Additional resources for learning more AI/ML Development

ASIN ‏ : ‎ B0BX5BGQ5R
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ February 28, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 15.1 MB
Simultaneous device usage ‏ : ‎ Unlimited
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 153 pages
Page Flip ‏ : ‎ Enabled
Book 1 of 2 ‏ : ‎ How to Do AI
Reading age ‏ : ‎ 11 – 18 years
Best Sellers Rank: #2,682,576 in Kindle Store (See Top 100 in Kindle Store) #1,652 in Mobile App Development & Programming #2,147 in Python Computer Programming #3,838 in Python Programming
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