AI Voice Assistant App
A voice-first AI assistant that transcribes speech, generates natural responses, and talks back. Handles customer queries, schedules appointments, and answers knowledge base questions hands-free.
What it does
AI can build a fully functional voice assistant app. The Web Speech API handles browser-side speech recognition, OpenAI Whisper handles transcription for uploaded audio, and GPT handles response generation. Text-to-speech is built into modern browsers or available via OpenAI TTS. The main challenge is latency on real-time back-and-forth and handling accents or background noise, but for an MVP this is very achievable with off-the-shelf APIs.
AI can build a fully functional voice assistant app. The Web Speech API handles browser-side speech recognition, OpenAI Whisper handles transcription for uploaded audio, and GPT handles response generation. Text-to-speech is built into modern browsers or available via OpenAI TTS. The main challenge is latency on real-time back-and-forth and handling accents or background noise, but for an MVP this is very achievable with off-the-shelf APIs.
Build prompt
Build a voice-first AI assistant app where users speak naturally to get help. Features: 1) Voice input via Web Speech API or microphone recording uploaded to OpenAI Whisper for transcription, 2) AI response generation via GPT-4 with configurable system prompt for assistant personality, 3) Text-to-speech output so the assistant talks back using browser TTS or OpenAI TTS API, 4) Conversation history saved per user session with timestamps, 5) Quick action buttons for common requests: schedule meeting, set reminder, search knowledge base, 6) Admin dashboard to configure assistant personality, upload knowledge base documents, and view conversation logs, 7) Real-time waveform animation while listening and speaking. Use a clean chat-style interface with a large circular mic button at the bottom.
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