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DestinAI: Your Personalized Travel Itinerary Planner and Chat Catalyst Using Generative AI

  • Aaswit Kanhed,
  • Pratham Bhagwat,
  • Kunal Palande,
  • Nishant Palav,
  • Sonal Balpande,
  • Kiran Deshpande,
  • Urjashree Patil

摘要

The current online travel information landscape faces significant challenges, including cluttered and repetitive content, which hampers tourists’ ability to plan their trips effectively. To overcome these issues, the proposed solution involves the development of a travel planning system driven by Generative AI. This innovative system aims to provide tourists with personalized recommendations tailored to their unique preferences. A fundamental component of this solution is the creation of an intuitive website featuring an itinerary planner. The primary objective is to streamline the process for users, minimizing the time spent searching for destinations based on their specific interests. Unlike previous methods, this planner considers tourists’ individual interests by analyzing their sentiments expressed in written texts about their previous travel experiences. This efficient understanding enables the system to deliver recommendations with users’ preferences and emotions. Generative AI utilizes advanced algorithms like NLP and vast training data, powered by models like Langchain. It begins by comprehending and analyzing user input, including preferences, constraints, and travel aspirations. It factors in preferences, activity choices, travel dates, and budget constraints to dynamically curate an itinerary. Langchain then synthesizes a coherent travel itinerary, encompassing recommended destinations, accommodations, activities, and travel logistics. Lastly, for robust deployment, we connect the application to MongoDB Atlas, a cloud-based database management system. This ensures a scalable and efficient setup for hosting and management of the database in a cloud environment.