Personalized Tourism Recommendation System: Leveraging GPT-3.5 For Comprehensive And Real-Time Travel Itineraries
The Personalized Tourism Recommendation System harnesses the capabilities of GPT-3.5 to provide travelers with comprehensive and real-time travel itineraries tailored to individual preferences and needs. As the travel industry increasingly shifts toward personalized experiences, our system addresses this demand by integrating advanced natural language processing with a wide array of travel data. Through user inputs such as interests, budget, duration of travel, and desired activities, GPT-3.5 generates customized recommendations that encompass accommodations, dining options, attractions, and transportation methods. The system continuously learns from user feedback, improving its suggestions based on user satisfaction and behavioral trends. In addition to generating itineraries, it incorporates real-time data such as weather forecasts, local events, and seasonal attractions, ensuring that recommendations remain relevant and up-to-date. By employing a user-friendly interface, travelers can interact with the system seamlessly, allowing for dynamic adjustments to their plans as circumstances change. This innovative approach not only enhances user experience but also empowers travelers to discover unique, off- the-beaten-path destinations, catering to diverse interests from adventure seekers to cultural enthusiasts. The high accuracy and responsiveness of GPT-3.5 enable the generation of nuanced recommendations that reflect local insights and personal preferences, setting our system apart from traditional itinerary planners. Ultimately, the Personalized Tourism Recommendation System represents a significant advancement in travel technology, aiming to transform how individuals plan their journeys by providing personalized, engaging, and practical travel solutions that adapt in real-time, thus enriching the overall travel experience. By leveraging cutting-edge artificial intelligence, we envision a future where every traveler's unique journey is just a few clicks away, driven by intelligent recommendations that foster exploration and discovery
Authors
- Pandey Manish Kumar
- M. A. (ORCID: https://orcid.org/0000-0002-1032-9657)
- Partole Sanjay
Publication Details
- Journal
- IOSR Journal of Computer Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.9790/0661-2701012533
- Primary Topic
- Diverse Aspects of Tourism Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00