Build a Smart WhatsApp AI Assistant with Twilio, Pinecone, and Llama2
You will get a fully functional and intelligent WhatsApp AI assistant that uses Twilio for messaging, Pinecone for semantic search, and Llama2 for natural language understanding. This assistant can answer queries, book slots, provide business details, and offer personalized replies based on real-time context. I’ve integrated this solution using Flask and deployed it with seamless Ngrok tunneling for testing.
With experience in backend architecture, AI integration, and chatbot deployment, I deliver production-ready solutions that are scalable and easy to maintain. The work I provide is tested, well-documented, and 100% original — perfect for businesses looking to automate customer interaction.
What sets this apart?
Uses state-of-the-art AI models (Llama2) for responses.
Implements semantic vector search for better contextual answers.
Fully customizable and extendable Flask backend.
Designed for real use: tested with real booking and messaging flows.