[Suggestion] Flutter cross-platform voice note app with STT and Audio Intelligence (Dart)

[deepgram-robot]

What to build

A Flutter app that records voice notes, transcribes them with Deepgram STT, and analyzes them with Audio Intelligence (sentiment, topics, entity detection). Demonstrates a complete mobile voice note workflow on iOS and Android from a single codebase.

Why this matters

Flutter developers building voice-enabled mobile apps currently have no reference implementation showing how to integrate Deepgram's full feature set. Voice note apps are one of the most common mobile use cases for speech-to-text, and adding Audio Intelligence (sentiment, topics, entities) transforms a simple transcription into an intelligent note-taking tool. Flutter's single-codebase approach means one example serves both iOS and Android developers simultaneously.

Suggested scope

• Language/Framework: Dart / Flutter (latest stable)
• Deepgram APIs: Pre-recorded STT (Nova-3), Audio Intelligence (sentiment, topics, entities)
• Features: Record audio from device microphone, upload to Deepgram, display transcript with intelligence annotations (sentiment badges, topic tags, entity highlights)
• Complexity: Medium — requires audio recording, REST API calls, and UI for results
• No backend required — direct API calls from Flutter app with API key (with note about production key management)

Acceptance criteria

• Runnable with minimal setup (clone, add API key, run)
• README explains the pattern clearly
• Uses current Deepgram API (direct REST calls or HTTP client)
• Works on both iOS and Android simulators
• Demonstrates audio recording → transcription → intelligence analysis flow
• Shows transcript with sentiment, topics, and entity annotations in the UI

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Raised by the DX intelligence system.