Conversational AI Travel Assistant for Automated Trip Planning and Destination Query Interpretation

Abstract: Now a days tourism industry is gradually increasing, traveller’s are facing issues in planning their trips, the old planning methods are often causing decision making problems due to hours of our research in inconsistent platforms for budgets, destinations and attractions. To overcome these challenges, our project introduces a Conversational AI Travel Assistant that provides the journey planning through the natural and human being-like interconnection by acts as an intelligent digital assistant. It uses the Natural Language Processing (NLP) technology, our system fulfils the user needs such as destination preferences, budget flexibility, traveling time, travel dates, and seasonal attractions. It also extracts the key requirements and creates highly customized advice along with the detailed plan, day-wise schedule. Our AI Travel Assistant system is developed by using Python as a web-based application, it offers high availability and an automatic interface while providing context-aware and suitable responses that constantly decrease the time and effort of the user in trip organization. This project provides the actual application of artificial intelligence in the tourism industry like real-time travel alerts, voice-based interaction, and weather forecast.

Keywords: Conversational AI, Natural Language Processing, Travel Planning, Intent Recognition, Itinerary Generation, Tourism Technology