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AI-Powered Smart Tourism and Travel Itinerary Management System is an intelligent travel planning web application designed to help users create personalized, budget-aware, and optimized travel itineraries quickly and efficiently. This project combines web scraping, API integration, database management, Flask web development, and artificial intelligence to build a complete smart tourism recommendation platform. Project Overview The system collects tourism-related data from multiple travel websites such as Tripadvisor, Holidify, and Budget Your Trip using Python libraries like Selenium, BeautifulSoup, and Requests. It extracts useful information including: Destination names Ratings and reviews Travel descriptions Recommended trip duration Destination images Estimated travel budgets To enhance the platform with dynamic travel information, the system also integrates real-time flight details using the AviationStack API. For improved location accuracy and validation, Nominatim (OpenStreetMap Geolocation Service) is used to identify the correct country and verify destination details. All processed data is stored in a MySQL relational database, allowing efficient storage, structured management, and fast querying of travel data. Web Application Features The project is developed as a Flask-based web application where users can filter destinations based on: State Region Trip duration Budget Travel themes Based on user-selected preferences, the filtered destination data is passed to Google Gemini AI, which generates a structured day-wise travel itinerary tailored to the traveler’s needs. Final Output The generated itinerary is automatically converted into a professional downloadable PDF travel plan, making it easy for users to save, print, and use during their trip. Technologies Used Python Flask Selenium BeautifulSoup Requests MySQL Google Gemini API AviationStack API Nominatim (OpenStreetMap) PDF Generation Tools Key Highlights ✔ Automated tourism data collection ✔ Real-time flight data integration ✔ Location validation using geolocation ✔ AI-based personalized itinerary generation ✔ Budget-aware trip planning ✔ Day-wise travel schedule creation ✔ Downloadable PDF itinerary output This project demonstrates how AI + Web Scraping + APIs + Full Stack Development can be combined to create a smart and modern travel planning solution for real-world use.