Voice Assistant Builder

Objectives

• Implement wake-word detection to activate the assistant
• Capture and transcribe user voice commands
• Process natural language intents using an LLM
• Build a visual editor for defining custom commands and responses
• Respond with context-aware synthesized speech

Hints

• Use Porcupine or a simple keyword-spotting model for wake-word detection
• Define intents as structured JSON that maps to action handlers
• Maintain conversation context across multiple turns for follow-up questions

Resources

• platform.openai.com/docs/guides/speech-to-text
• platform.openai.com/docs/guides/text-to-speech

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