✈️ Airline Customer Service Chat Agent

This is an AI-powered airline customer service chat agent designed to assist users with common airline queries using external APIs, simulated internal databases, and document processing.

🧠 Project Objective

To build a smart, conversational agent that can:

• Provide destination weather updates
• Check flight status and availability
• Handle flight bookings via a simulated database
• Answer FAQs from static airline documents
• Fetch real-time info from the web
• Offer a clean and simple user interface for interaction

🚀 Features

1. 🌤️ External API Integration

   • Uses OpenWeatherMap API to fetch weather updates for any city or airport.
   • Example: “What’s the weather like in New York tomorrow?”

2. 🛫 Simulated Internal Database

   • Queries flight schedules and handles mock bookings.
   • Example: “Book a flight from LK to LA on June 10.”

3. 📄 Document-Based FAQ Answering

   • Parses a static document (PDF/Text) containing airline FAQs.
   • Example: “What’s the baggage limit for international flights?”

4. 🌐 Web Searching

   • Uses web search tools to answer destination-related queries.
   • Example: “What are the top 10 attractions in LA?”

5. 🖥️ UI

   • Frontend built with Next.js for clean user experience.
   • Allows real-time interaction with the chat agent.

🛠️ Tech Stack

• Frontend: Next.js (or alternative React framework)
• Backend: Python
• APIs:
  • OpenAI Responses API (gpt-4o-mini)
  • OpenWeatherMap API
• Database: SQL SSMS
• Others: File parsing, web search integration

🗂️ Folder Structure

├── frontend/                # Next.js app
├── backend/                 # Python API backend
├── database/                # SQL schema & mock data
├── docs/                    # FAQ PDF/document
├── .env                     # API keys (excluded in git)
└── README.md