GenAI-powered Itinerary Planner
The emergence of AI-driven tools has significantly transformed various domains, including travel planning. This project introduces an intelligent travel itinerary planner designed to enhance the trip-planning experience through automation, adaptability, and interactive natural language processing. Built with Python and FastAPI, the system enables users to generate personalized travel plans with minimal manual effort, ensuring accuracy and convenience. It incorporates secure authentication, scalable data management, and cloud-based deployment on AWS, ensuring high reliability and data security. The planner dynamically updates itineraries in response to real-time factors such as flight changes, weather conditions, and availability, providing a seamless and responsive travel experience. Its modular architecture allows smooth integration with existing travel management platforms, making it a valuable asset for both individuals and businesses. By streamlining complex planning tasks and offering AI-driven recommendations, this tool redefines how travelers organize, modify, and optimize their schedules. Designed with scalability in mind, it remains adaptable to emerging trends in travel technology, ensuring long-term efficiency and continuous improvement in user experiences.
Authors
- T Primya
- S Kanika
- S Niruba
- Kaviyapriya VK
- G.Kanagaraj
Institutions
- KPR Institute of Engineering and Technology (IN)
Publication Details
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/icaeca63854.2025.11012327
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00