Phoenix - Your AI AssistantAI Voice Assistant – Speech-to-Text & NLP Mobile Integration
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5 days
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What you get with this Offer
I will build and integrate a complete AI voice assistant feature into your iOS, Android, or Flutter mobile application — covering real-time speech-to-text transcription, NLP-based intent parsing, response generation via LLM, and text-to-speech output — creating a fully conversational voice interface your users can speak to naturally. Voice is rapidly becoming the primary interaction modality for mobile AI features; building it correctly requires expertise across audio capture, streaming transcription, NLP, and mobile UX that most development teams are still developing.
The feature covers microphone capture with push-to-talk or voice activity detection, streaming transcription via OpenAI Whisper API or on-device speech recognition (Apple Speech framework or Android SpeechRecognizer), intent classification or LLM-based response generation, and TTS playback using native platform synthesis or ElevenLabs for natural-sounding voice output. Wake word detection can be added as a scope extension.
Ideal for productivity apps, accessibility tools, healthcare companions, customer service apps, smart home controllers, or any mobile product where hands-free voice interaction significantly improves the user experience relative to typing.
The feature covers microphone capture with push-to-talk or voice activity detection, streaming transcription via OpenAI Whisper API or on-device speech recognition (Apple Speech framework or Android SpeechRecognizer), intent classification or LLM-based response generation, and TTS playback using native platform synthesis or ElevenLabs for natural-sounding voice output. Wake word detection can be added as a scope extension.
Ideal for productivity apps, accessibility tools, healthcare companions, customer service apps, smart home controllers, or any mobile product where hands-free voice interaction significantly improves the user experience relative to typing.
What the Freelancer needs to start the work
Please describe the voice assistant's intended function (what users say and what the app should do in response), your target platform and existing mobile codebase, your preferred transcription and LLM provider, and whether the feature requires on-device processing or cloud API integration is acceptable.