AI Chatbot for Detailing Studio

I’m ready to introduce an AI-powered concierge on my premium automotive detailing website and need a developer who can take it from concept to production. The assistant must answer real-time questions about services and pricing, booking appointments, and aftercare, drawing exclusively on my business information. Here’s the experience I’m after: ultra-low-latency replies through Groq’s API, running LLaMA 3.3 70B behind the scenes. I want conversation history to persist across a visitor’s session, so Streamlit session_state (or an equally clean solution) is the framework of choice, with python-dotenv keeping keys secure. A polished, on-brand interface, a friendly greeting flow, and easy deployment to a cloud host should round it out. Only English support is required for launch, but the prompt design must be modular enough that I can localise later without breaking anything. Deliverables • End-to-end Streamlit app with custom branding and welcome sequence • Groq API integration tuned for sub-second answers • System prompt architecture that blocks any response unrelated to my studio • Persistent multi-turn chat memory stored client-side or in a lightweight backend • .env-driven key management and a concise README covering setup, hosting, and update steps I’ll provide my service menus, price sheets, and tone guidelines as soon as we start. Code must be clean, documented, and ready for immediate deployment. If you’ve shipped similar AI chat portals, I’d love to see them.