This report presents the integration of Large Language Models (LLMs) in WanderSync, an AI
driven ... more This report presents the integration of Large Language Models (LLMs) in WanderSync, an AI driven travel planning platform. LLMs power the generation of personalized itineraries, contextual recommendations, and natural language interactions between users and the system. The report explores the model’s architecture, training, capabilities, limitations, ethical concerns, and its role in making WanderSync a next-generation travel companion
Travel planning has transitioned from traditional guidebooks and travel agents to online
booking... more Travel planning has transitioned from traditional guidebooks and travel agents to online booking platforms and, more recently, to AI-powered intelligent assistants. This survey explores WanderSync, a Generative AI-based travel planning platform that leverages LLMs (Large Language Models) and real-time travel APIs to deliver personalized itineraries. The study compares WanderSync with existing travel platforms such as TripIt, Google Travel, and Kayak, identifying the strengths, weaknesses, and gaps. The paper concludes with insights into the future of AI-driven travel planning, emphasizing personalization, collaboration, and visualization
Travel planning has always been a challenge due to fragmented platforms, budget concerns,
and la... more Travel planning has always been a challenge due to fragmented platforms, budget concerns, and lack of personalization. WanderSync introduces a new paradigm by using Generative AI and real-time travel APIs to craft personalized itineraries. This paper-style blog explores its concept, design, survey comparisons, insights, and potential impact on the future of travel
Uploads
Papers by laiba ali
driven travel planning platform. LLMs power the generation of personalized itineraries,
contextual recommendations, and natural language interactions between users and the
system. The report explores the model’s architecture, training, capabilities, limitations, ethical
concerns, and its role in making WanderSync a next-generation travel companion
booking platforms and, more recently, to AI-powered intelligent assistants. This survey
explores WanderSync, a Generative AI-based travel planning platform that leverages LLMs
(Large Language Models) and real-time travel APIs to deliver personalized itineraries. The
study compares WanderSync with existing travel platforms such as TripIt, Google Travel, and
Kayak, identifying the strengths, weaknesses, and gaps. The paper concludes with insights into
the future of AI-driven travel planning, emphasizing personalization, collaboration, and
visualization
and lack of personalization. WanderSync introduces a new paradigm by using Generative AI
and real-time travel APIs to craft personalized itineraries. This paper-style blog explores its
concept, design, survey comparisons, insights, and potential impact on the future of travel