International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Exploring the domain of Artificial Intelligence and its utilization towards designing better solution for our tasks highlight the key technological advancement. With these systems using the large language models, machine learning algorithms and natural language processing along with real time data integration an leveraging these for our AI-powered trip planner to address the issue of improper planning and management of the tour, this travel planner considers several factors and constraints such as budget, location, real time considerations to plan out user centric itineraries. Personalization is the key element which helps to optimize the plan and adapt the user behavior for interest and tailor the plan according to the preferences. Multi agent architecture helps to provide a diverse planning considering real time forecasting updates and keeping the localized touch to the travel plan to maintain the dynamic adaptability and feasibility of the plans. With certain data and recurrent planning these AI driven planners evolve as a successful handy solutions than traditional time-consuming plans. Although these AI driven plans also come with certain challenges to overcome such as data privacy, accuracy of the information, real time data driven forecast and user emergencies, integrating highly developed and emerging technologies such as augmented reality, blockchain can be wonderful to enrich the user experience and for long term adaptive learning would be helpful to build a trustworthy AI driven travel solutions.

Keywords: Personalized Travel Planning, Dynamic Itinerary Adaptation, Behavioral Prediction and User Modeling, User Engagement and Feedback Loops, Scalability and Robustness in Travel Planning, Graph-structured Context Management.

Downloads: | DOI: 10.17148/IJARCCE.2025.1412100