AquaShine AI Voice Concierge
AquaShine is an intelligent AI-driven virtual receptionist that handles car wash bookings and customer inquiries through real-time voice interaction.
Project Overview
A full-stack voice application built with FastAPI and Groq, utilizing the Llama 3.3 model for high-speed, natural language processing. The system provides a seamless hands-free booking experience by managing speech-to-text, intelligent intent recognition, and text-to-speech responses, all while maintaining persistent session logs and high-quality audio recordings.
Key Features
Real-time voice-to-text interaction for hands-free booking
Detailed implementation of this feature ensured optimal user experience and performance.
Intelligent data collection (Vehicle info, service type, model)
Detailed implementation of this feature ensured optimal user experience and performance.
Automated conversation title generation via LLM
Detailed implementation of this feature ensured optimal user experience and performance.
Persistent chat history storage with session-based tracking
Detailed implementation of this feature ensured optimal user experience and performance.
Full session audio recording and server-side playback
Detailed implementation of this feature ensured optimal user experience and performance.
Dynamic management of historical conversations via sidebar
Detailed implementation of this feature ensured optimal user experience and performance.
Project Gallery
Challenges & Solutions
Voice Latency Optimization
Achieving a natural conversation feel by minimizing the delay between user speech and AI response.
Integrated Groq's Llama 3.3 70B model with FastAPI async endpoints to achieve sub-second response times.
Audio Stream Persistence
Managing and storing raw audio chunks reliably during an active voice session without performance lag.
Developed a custom storage service that captures and saves audio data in chunks, linking them to specific conversation IDs.
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