Contact person: Business Client

Phone:Show

Email:Show

Location: Woburn, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I want to launch a conversational AI that handles customer support in up to 50 popular languages and can respond with a cloned, natural-sounding voice. My priority is a seamless experience on both web and mobile; desktop may follow later, so an architecture that can expand is important.

Core requirements
• Natural dialogue: NLP engine capable of context retention, intent recognition, and sentiment detection.
• Voice cloning: users hear a consistent, branded voice generated on the fly using leading speech-synthesis tools such as Azure Neural TTS, Google WaveNet, or comparable libraries.
• Multilingual reach: automatic language detection plus accurate translation to and from 50 languages, not just English or Spanish.
• Omnichannel front end: embeddable JavaScript widget for websites and an SDK or React Native module for mobile apps.
• Knowledge base integration: connect to my existing FAQ and ticketing backend so answers stay current.
• Analytics and admin: dashboard to review transcripts, hand-off to live agents, and fine-tune intents.
• Security: GDPR-friendly data handling and authentication with OAuth or similar.

Deliverables
1. Technical blueprint outlining architecture, data flow, and recommended cloud services.
2. Functional prototype deployed to a test web page and test mobile app (Android or iOS).
3. Voice model trained and demonstrated with at least 100 sample phrases.
4. Documentation for setup, API endpoints, and future language additions.
5. Short video walkthrough showing the bot in action.

I value clean, well-commented code, regular progress updates, and brief demos at each milestone. If you have prior work with conversational AI, voice tech, or large-scale multilingual systems, please include examples." (client-provided description)