
Description:
Led a 5-week AI project for the Smithsonian Institution to design and deploy a RAG-based conversational assistant. I scraped structured data from multiple museum websites using BeautifulSoup, stored it in Pinecone vector databases, and integrated it with GPT‑3.5 Turbo via Langchain. The bot enables users to ask natural-language questions—about exhibits, opening hours, and collection highlights—and receive accurate, context-aware responses. The system achieves a 100% completion rate.
## Video available on my personal Linkedin Account