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Building a Voice-Enabled AI Assistant With Javascript – Tejas Kumar, JSNation 2023
Learn how to build a voice-enabled AI assistant using JavaScript, native web APIs, and browser-based technologies, and explore the potential of Tauri for creating performance-oriented software.
- Building a voice-enabled AI assistant using JavaScript requires native web APIs and browser-based technologies like HTML, CSS, and JavaScript.
- The project uses the speech recognition API and speech synthesis API to provide voice commands.
- The speech recognition API uses WebKit speech recognition, which is built-in to Chrome, and is used to transcribe spoken commands.
- The speech synthesis API uses voices from the user’s operating system.
- The project uses OpenAI’s GPT 3.5 turbo model to provide text-to-speech functionality.
- The project demonstrates how to build a conversational AI assistant using only browser-based technologies and implies that this can be used to create a native desktop app.
- The project uses the concept of event listeners to manage the flow of user interactions and system responses.
- The project emphasizes the importance of respecting user privacy and security when building AI assistants.
- The project shows how to use JSON, Promise, and async/await to handle data and responses.
- The project can be improved by handling errors and exceptions better.
- The project concludes by emphasizing the potential of Tauri to create performance-oriented software using Rust and JavaScript.