Building a Voice-Enabled AI Assistant With Javascript

Overview

Immerse yourself in a hands-on experience as we delve into the exciting world of voice-enabled AI technology. Our live coding session on "Building a Voice-Enabled AI Assistant With JavaScript" provides a unique opportunity for learners to develop a Jarvis-like AI assistant.

Leveraging the power of Web APIs and the langchain framework, this event exemplifies cutting-edge integration of artificial intelligence and JavaScript. Hosted by YouTube, this session is ideal for enthusiasts eager to explore the horizons of AI development.

Categories:

Artificial Intelligence Courses, Conference Talks

Syllabus

• Course Introduction
Overview of AI Assistants and Their Applications
Course Objectives and Outcomes
• JavaScript Fundamentals for AI
JavaScript Basics Refresher
Introduction to Asynchronous Programming in JavaScript
Using APIs in JavaScript
• Setting Up the Development Environment
Required Tools and Software (Node.js, npm, etc.)
Setting Up a Code Editor
Introduction to Git and Version Control
• Introduction to Web APIs
Overview of Web APIs Relevant to AI Assistants
Working with Fetch API in JavaScript
• Voice Recognition with Web Speech API
Introduction to the Web Speech API
Capturing Audio Input
Converting Speech to Text
• Introduction to LangChain
What is LangChain?
Installing and Setting Up LangChain
Basic Usage Patterns
• Integrating LangChain for Text Processing
Creating Contextual Responses
Managing Conversation State
• Building the AI Assistant
Designing the Assistant Architecture
Implementing Voice Commands
Responding to User Queries
• Adding Features and Enhancements
Integrating External Information Sources (e.g., Weather, News APIs)
Adding Natural Language Processing Capabilities
• Testing and Debugging
Techniques for Testing JavaScript Applications
Debugging Common Issues in Voice-Enabled Applications
• Deployment and Maintenance
Best Practices for Deployment
Continuous Integration and Deployment Strategies
Maintaining and Updating the AI Assistant
• Course Wrap-Up
Recap of Key Concepts
Future Learning Paths and Resources
Q&A Session and Feedback Collection

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Subjects

Conference Talks