Abstract: The rapid growth of the tourism industry has led to an overwhelming amount of travel information, making itinerary planning a complex and time-consuming task for travellers. This paper presents a Personalised Travel Planning System with an AI Assistant, a web-based application that leverages artificial intelligence to provide customized travel recommendations, intelligent itinerary generation, destination insights, flight suggestions, and real-time travel tips. The system is built using the Flask framework, integrates with the OpenRouter API to access large language models (GPT-3.5-turbo), and incorporates user authentication with email notifications. The proposed solution simplifies travel planning by offering an interactive conversational agent and automated planning tools, thereby enhancing user experience and decision-making. Experimental results demonstrate the system’s effectiveness in generating relevant, context-aware travel plans and advice. Future enhancements include integration with live booking APIs, multi-language support, and a mobile application.

Keywords: Travel planning, AI assistant, personalized itinerary, chatbot, destination insights, OpenRouter, Flask, recommendation system.


Downloads: PDF | DOI: 10.17148/IARJSET.2026.13259

How to Cite:

[1] Mugundhan AV, Dr. K. Santhi, "THE PERSONALISED TRAVEL PLANNING SYSTEM WITH AI ASSISTANT," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13259

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