GithinjiVictor/TravelAfricaRAGAssistant

An AI-powered Travel Africa RAG Assistant that recommends hotels, answers travel questions, and generates personalized trip plans for Kenya and East Africa using FastAPI, ChromaDB, and Groq. ### **Student Instructions: Travel Africa RAG Project** You are required to build a **Travel Africa RAG Assistant** that helps users discover hotels, explore destinations, and plan trips across **Kenya and East Africa**. You have already learned **FastAPI** and how to build a **RAG system**. In this project, you will combine those skills by collecting hotel data, processing it, storing it in a vector database, and building a user interface based on the provided **Travel Africa RAG Template**. --- ### **Project Title** **Travel Africa: Kenya Hotel Discovery and Trip Planning RAG Assistant** --- ### **Project Objective** The goal of this project is to build a complete **RAG-powered travel assistant** that can answer user questions about hotels, destinations, safari trips, coastal vacations, and travel planning in Kenya and East Africa. The assistant should help users answer questions such as: ```text Find affordable hotels in Diani near the beach. Recommend hotels in Nairobi for business travelers. Plan a 6-day Kenya trip covering safari, coast, and culture. Which hotels are good for families near Maasai Mara? Compare hotels in Mombasa and Diani for a weekend trip. ``` --- ### **Project Scenario** You are building a smart travel assistant for tourists, local travelers, and travel agencies. The system should allow users to search for hotels and ask travel-related questions. Your assistant should use the data you collected and return useful answers with hotel recommendations and sources. --- ### **Data Collection Requirements** You are required to scrape or collect hotel data from public sources. Your data should focus on hotels in Kenya and, where possible, East Africa. Examples of locations to include: ```text Nairobi Mombasa Diani Naivasha Nakuru Maasai Mara Amboseli Watamu Malindi Kisumu Nanyuki Lamu Zanzibar Arusha Kampala Dar es Salaam ``` Each hotel record should contain as many of the following fields as possible: ```text Hotel Name L …