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TourMate: Enhancing Tourist Experiences Through Personalized Guidance with Weather Prediction

  • D. I. De Silva,
  • M. P. Gunathilake,
  • H. K. G. S. P. Jayathilaka,
  • B. Denojan,
  • E. A. Sandeepani,
  • S. T. Kandambige

摘要

Efficiently predicting weather conditions is of paramount importance in optimizing tourist experiences, particularly in destinations such as Sri Lanka, known for its diverse and often unpredictable climate. This comprehensive study focuses on enhancing predictive capacity by leveraging the OpenWeatherMap API, a trusted and globally recognized source of real-time weather data. By integrating this reliable data source into this system, the research aims to revolutionize the way tourists plan their trips. The study presents a user-centred approach to travel planning, introducing the TourMate web app. This dynamic platform empowers travellers with personalized tour guides, real-time weather forecasts, and user-generated content, ensuring a more satisfactory and seamless exploration of Sri Lanka's breath-taking attractions. From hiking in lush green mountains to enjoying pristine beaches and exploring historical sites, TourMate allows travellers to adapt their itineraries based on precise weather predictions, guaranteeing a memorable and stress-free journey. This solution not only enhances the travel experience but also holds the potential to elevate the tourism industry in Sri Lanka and set a new standard for personalized travel planning worldwide.