Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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AI Travel Buddy

Authors
Ashlesha Kolarkar1, Navyasri Eligeti1, *, Bestha Mohan Krishna1, Kalluri Jeevan Swamy1
1Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, Telangana, India
*Corresponding author. Email: navyasrieligeti@gmail.com
Corresponding Author
Navyasri Eligeti
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_135How to use a DOI?
Keywords
Itinerary; Traditional; API; Co-exist; Optimal; Inefficiencies; Dissatisfied
Abstract

Traditional trip planning techniques are laborious, it involves large human research, one need to compare information regarding the trip from all resources of web or applications, we must book the seats for traveling in advance regardless of our traveling dates, attractions, and transportation. These approaches mostly give us inefficiencies, dissatisfied experience, and a lack of personalization of our journey, this makes users unhappy regarding the trips. There are a lot many applications to plan the routes and to book vacancies, but they do not co-exist, even if they exists, they are not optimal. Using cutting edge and booming technologies like Firebase for application data management, Graph Hopper API for dynamic mapping and providing the optimal routes, and Open Weather API for timely weather notifications, our solution combines AI-driven itinerary planning, real-time route optimization, and personalized recommendations and also provides the leisure of chatting with AI regarding the travel itinerary. This AI-powered system creates optimal travel plans with local attractions by taking into account user preferences, budgets, available days, and weather conditions, helps user to clarify doubts regarding the trip in chatbot, in addition provides a travel buddy system where people planning for same trips are notified to travel together and reduce their expenses.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_135How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ashlesha Kolarkar
AU  - Navyasri Eligeti
AU  - Bestha Mohan Krishna
AU  - Kalluri Jeevan Swamy
PY  - 2025
DA  - 2025/11/04
TI  - AI Travel Buddy
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1663
EP  - 1674
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_135
DO  - 10.2991/978-94-6463-858-5_135
ID  - Kolarkar2025
ER  -