The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Integrated Travel Planner Using React
|
|
Author(s): K. Krishna (Hindusthan College of Arts and Science, India), Senthil A. V. Kumar (Hindusthan College of Arts and Science, India), Vaishali Mishra (Expedia Group, USA), Sajad Ahmad Mir (Presidency University, Bangalore, India)and Kyla L. Tennin (United Nations Peace Ambassador Foundation, USA & College of Doctoral Studies, University of Phoenix, USA & LMG, USA)
Copyright: 2025
Pages: 32
Source title:
Empowering Sustainable Performance and Competitive Advantage in Tourism
Source Author(s)/Editor(s): Mario Silic (Swiss School of Business and Management, Switzerland), Mahesh Luthia (Chetana's Institute of Management and Research, India), Faizan Ahmad (Cardiff Metropolitan University, UK)and Partha Pratim Chakraborty (Chetana's Institute of Management and Research, India)
DOI: 10.4018/979-8-3373-4546-8.ch010
Purchase
|
Abstract
This chapter presents a mobile platform designed to enhance the travel planning process through the integration of advanced technologies such as artificial intelligence, interactive mapping, and high-quality visual design. The platform offers personalized recommendations, dynamic navigation, and real-time updates on local attractions, dining, and accommodations. Additionally, it allows instant itinerary adjustments based on factors like weather, traffic, or user preferences. Developed using React Native and Expo for cross-platform functionality, the platform incorporates Firebase for secure authentication and AI algorithms to generate tailored travel suggestions based on user inputs. The solution utilizes interactive maps from MapTiler and high-resolution visuals from Pixabay to create an immersive and intuitive travel experience. This chapter highlights the significance of such technological advancements for individual travelers, tour operators, and corporate travel management.
Related Content
|
Aditi Nag.
© 2026.
48 pages.
|
|
Mayur Thakur, Shikha Sharma, Trilochan Kumar.
© 2026.
44 pages.
|
|
Partha Mukhopadhyay, Prachee Parwanee.
© 2026.
36 pages.
|
|
Kamaraj Kalaimathy, Chathana Thagavel, Sofiya M. Karunanithi.
© 2026.
30 pages.
|
|
İlhami Ay, Murat Dal.
© 2026.
34 pages.
|
|
Vinupandyan Lakshmanan.
© 2026.
32 pages.
|
|
Muhammad Usman Tariq.
© 2026.
28 pages.
|
|
|