Publication Type : Conference Paper
Publisher : IEEE
Source : 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Url : https://doi.org/10.1109/icccnt61001.2024.10725832
Campus : Bengaluru
School : School of Computing
Year : 2024
Abstract : In the ever-evolving landscape of travel planning, the ‘Trip Planner” application is highly recommended. Using Python, Tkinter, and SQLite managed through pandas, this tool enhances user interaction with technology, offering a user-friendly platform for selecting hotels, generating itineraries, and preserving travel plans. Its design emphasizes simplicity and efficiency, making it ideal for users looking to redefine their travel organization. The application integrates advanced technological features, positioning it as a top choice for those interested in an effective travel planning tool. This recommendation suits anyone seeking to improve their travel planning processes with innovative software solutions, enhancing the overall experience and convenience of organizing travel adventures.
Cite this Research Publication : Advik Narendran, Anantha Hothri, Manyam Yashaswini, Srinidhi Sundaram, K. Aiswariya Milan, Personalized Travel Itinerary Recommender System using Tkinter and SQLite, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10725832