AI Voice Receptionist Development

$250-750 USD

Fechado

Publicado há aproximadamente 2 meses

$250-750 USD

Pago na entrega

I’m building a voice-driven receptionist that greets visitors or callers, listens to their questions, and replies with a natural-sounding voice. The core flow is straightforward: • Speech-to-text: Accurate recognition of English only is required for now. • NLP: Classify the intent and pull the correct answer when a caller asks about our business hours or location. • Text-to-speech: Respond with friendly, human-like audio. • Fallback: whenever the system is unsure, it should politely ask for more details rather than handing the call off or giving a canned line. I need the full stack—STT, intent handling, response generation, and audio playback—wrapped in a module that I can drop into my existing website widget today and expand to a phone line via Twilio (or a similar SIP/VoIP service) later. Keep the integration layer simple: a REST webhook or lightweight SDK is perfect. Acceptance criteria 1. Demo page or endpoint that I can test from Chrome: user speaks, system replies. 2. Correct answers for “What time do you open?”, “When do you close?”, and “Where are you located?”. 3. When asked something unrelated, system requests clarification (“Sorry, could you tell me a bit more about that?”) and logs the transcript. 4. Clear setup instructions and source code (Python, Node, or comparable mainstream language). If you’ve worked with Dialogflow, Whisper, Azure Cognitive Services, Amazon Polly, or similar toolchains, let me know. I’m ready to start as soon as I see a concise plan and timeline.

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ID do Projeto: 40277718

Sobre o projeto

2 propostas

Ativo há 10 dias

Localização: Addis Ababa, Ethiopia

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2 freelancers estão ofertando em média $300 USD for esse trabalho

@latera6

hello I’m Latera from Ethiopia, and I can build your full-stack voice-driven receptionist that integrates seamlessly with your website today and scales to Twilio or other VoIP later. Solution: Speech-to-Text: Accurate English recognition using Whisper, Azure, or Google STT. NLP & Intent Handling: Detect core questions (“What time do you open/close?”, “Where are you located?”) and respond correctly. Text-to-Speech: Friendly, human-like audio responses via Amazon Polly, Azure TTS, or OpenAI TTS. Fallback & Logging: For unrelated queries, politely ask for clarification and log transcripts. Integration: Drop-in module via REST webhook or lightweight SDK, demo page for Chrome testing, full source code in Python or Node.js. Timeline: Prototype & demo in 3 days, full module with intents and integration in 7 days. I have hands-on experience with Dialogflow, Whisper, Azure Cognitive Services, and Amazon Polly. I deliver clean, maintainable code and fully documented setup instructions, ready for immediate testing. Let’s get your receptionist voice-enabled and engaging! Latera Lamesa, Ethiopia

$250 USD em 7 dias

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@fitsum515

Selam, I have a friend from Addis Ababa University who has the required skills and experience to complete this project. He has worked with speech-to-text, NLP, and text-to-speech technologies and can build a voice-driven receptionist system like the one you described. He is capable of developing the full stack solution—including accurate English STT, intent classification for questions such as business hours and location, natural-sounding voice responses, and a smart fallback that asks for clarification when needed. He can also package the system as a simple REST webhook or lightweight SDK so it can be easily integrated into your website widget now and expanded later to a phone line using Twilio or a similar VoIP service. Since he is based in Addis Ababa, he can also deliver or support the project on-site if required. Please leave a message so we can discuss the details and get started right away.

$350 USD em 3 dias