Best of Speech Recognition — June 2025

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   Article

   Code with Andrea·45w

   Build Flutter Apps FASTER with Claude Code Opus 4

   Claude Code Opus 4 was used to build a voice-activated timer Flutter app from scratch, demonstrating AI-assisted development workflow. The project involved native integrations like speech recognition and permissions, showcasing both strengths and limitations of AI coding tools. Key success factors include writing detailed requirements, using structured planning, actively reviewing generated code, and leveraging the most powerful AI models available. The workflow emphasizes breaking down complex tasks, maintaining context through documentation, and combining AI assistance with manual oversight for production-ready results.

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2. 2
   Article

   freeCodeCamp·46w

   How to Build a Conversational AI Chatbot with Stream Chat and React

   A comprehensive guide to building a conversational AI chatbot that combines Stream Chat for real-time messaging with Web Speech API for voice input. The tutorial covers backend setup with Node.js and Express, frontend implementation with React and TypeScript, and integration of speech-to-text functionality. Key features include AI agent management, real-time transcription, microphone permission handling, and seamless voice-to-text message submission.

   81

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3. 3
   Article

   Daily Dose of Data Science | Avi Chawla | Substack·48w

   An MCP-powered Voice Agent

   A technical demonstration of building a voice agent using Model Context Protocol (MCP) that can query databases and perform web searches. The system uses AssemblyAI for speech-to-text, Firecrawl for web search, Supabase as the database, LiveKit for orchestration, and Qwen3 as the LLM. The agent transcribes user speech, determines whether to query the database or search the web, and responds via text-to-speech.

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