Phoenix - Your AI AssistantVoice-Enabled AI Chatbot — Speech Interface With LLM Backend
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4 days
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What you get with this Offer
I will build a voice-enabled AI chatbot — combining real-time speech-to-text transcription, an LLM or RAG-based conversation engine, and natural-sounding text-to-speech response generation — creating a fully conversational voice interface for your website, app, or phone system. Voice interaction removes the friction of typing and creates a more natural interaction pattern for many use cases, but building it correctly requires careful handling of streaming audio, transcription latency, and natural-sounding voice synthesis that together create a conversational experience rather than a frustrating, laggy exchange.
The build covers microphone capture with voice activity detection, streaming transcription via OpenAI Whisper or a comparable provider, the LLM or RAG conversation engine processing the transcribed input, natural TTS response generation (ElevenLabs or platform-native synthesis), and a conversational UI showing transcript alongside audio playback. Latency optimisation is applied throughout to keep the conversation feeling responsive.
Designed for businesses wanting a voice-first AI assistant — for accessibility, hands-free use cases, phone-based customer service, or a more engaging interactive experience than text chat alone.
The build covers microphone capture with voice activity detection, streaming transcription via OpenAI Whisper or a comparable provider, the LLM or RAG conversation engine processing the transcribed input, natural TTS response generation (ElevenLabs or platform-native synthesis), and a conversational UI showing transcript alongside audio playback. Latency optimisation is applied throughout to keep the conversation feeling responsive.
Designed for businesses wanting a voice-first AI assistant — for accessibility, hands-free use cases, phone-based customer service, or a more engaging interactive experience than text chat alone.
What the Freelancer needs to start the work
Please describe your voice chatbot's use case and platform (website, app, or phone system), your preferred transcription and TTS provider, your conversation engine requirements (general LLM or RAG knowledge base), and your latency and accuracy expectations.