Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68457
Volume:
10 |
10 |
Oct 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Information Science and Engineering
EAST WEST INSTITUTE OF TECHNOLOGY,MAGADI ROAD,BANGALORE
Information Science and Engineering
EAST WEST INSTITUTE OF TECHNOLOGY,MAGADI ROAD,BANGALORE
Information Science and Engineering
EAST WEST INSTITUTE OF TECHNOLOGY,MAGADI ROAD,BANGALORE
Information Science and Engineering
EAST WEST INSTITUTE OF TECHNOLOGY,MAGADI ROAD,BANGALORE
Information Science and Engineering
EAST WEST INSTITUTE OF TECHNOLOGY,MAGADI ROAD,BANGALORE
Trip planning today typically requires several disconnected applications for navigation, accommodation, transport, flights, itinerary preparation, and emergency help. Users must collect and reconcile this information manually, which costs time and weakens coordination and safety during travel. This paper presents SMART-ROUTE, a mobile travel-planning platform that brings these services into one application. The user enters a source, destination, trip duration, budget, number of travelers, and travel type (Family, Friends, Couple, or Solo). The backend generates a day-wise itinerary and returns budget information, hotels, transport options, a transport recommendation, flight information, attractions, an agentic recommendation, and sustainability information. A map view shows the route between source and destination, and navigation is handed off to the device's Google Maps application. Emergency shortcuts for hospital, police, fuel, and mechanic assistance and a trip-aware AI travel assistant are included in the same interface. Registered users can save multiple trips and retrieve them later from MongoDB. The system uses React Native with Expo and Expo Router on the client, and Node.js and Express.js REST APIs with JWT authentication on the server. Data is stored in MongoDB Atlas through Mongoose. The work supports SDG 11 (Sustainable Cities and Communities) through consolidated planning and sustainability-oriented recommendations. This paper separates implemented functionality from proposed functionality. It does not report accuracy, efficiency, response-time, or user-adoption figures. The evaluation is functional and prototype-level, and larger user studies are identified as future work.
KEYWORDS
This paper presented SMART-ROUTE, a mobile travel-planning platform that addresses the fragmentation of travel services. It combines AI-assisted itinerary generation, travel-service information, a route map with navigation hand-off, emergency shortcuts, an AI travel assistant, and per-user saved trips within one application. The system is built on React Native/Expo, Node.js/Express REST APIs with JWT authentication, and MongoDB Atlas. The evidence shows a working backend and a functioning trip dashboard in the interface, and it aligns the system with SDG 11 through consolidated planning and sustainability information. The paper has been explicit that the evaluation is functional rather than quantitative, that AI details are undocumented, and that the standalone Android build had an unresolved dashboard crash at the time of writing. Future work includes real-time data, route optimization, and a user study, which are needed before any claims about efficiency, safety, or sustainability impact can be made.
[1] G. Karras et al., "Tourism Recommendation Models," 2024. [Incomplete: venue, volume, pages, DOI needed. Verify before submission.] [2] S. Wang, X. Hong, N. Karia, and S.-U. Guan, "Outlook and Direction of AI Tour Guide Services—From the Lifelong Machine Learning View," in Proc. 2nd Int. Conf. Electronics, Communications and Information Technology (CECIT), 2021, pp. 802–806, doi: 10.1109/CECIT53797.2021.00145. [3] G. Manoharan, C. V. G. Rao, S. P. Ashtikar, S. Kumar, and M. Nivedha, "Voyage Virtuoso: Artificial Intelligence in Transforming Tourism," in Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality, 2024, pp. 79–97, doi: 10.4018/979-8-3693-1978-9.ch004. [4] E. Aribas and E. Daglarli, "Transforming Personalized Travel Recommendations: Integrating Generative AI with Personality Models," Electronics, vol. 13, no. 23, Art. no. 4751, 2024, doi: 10.3390/electronics13234751. [5] S. Srikanthan, T. Jayalath, C. Senevirathne, K. Rajendran, and T. Rasarathnam, "AI Driven Smart Tourism Platform for Personalized Safe and Sustainable Travel Planning," in Proc. IEEE ICITR, 2025. [Pages/DOI needed.]
Publication Date
10/29/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
1
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...