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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61004

TRIPSAGE: AI TRAVEL GUIDE – AN INTELLIGENT TRAVEL PLANNING APPLICATION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61004

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem61004

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.

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Authors

PH

PRAGELAN H

PAJ

PRANESHWARAN A J

RR

RAJESH R

SVCS

SABARI VASAN C S

SS

SANDHIYA S

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Abstract

– TripSage is an AI-powered travel planning application designed to assist users in efficiently organizing their trips through intelligent automation. Users provide basic travel details such as destination, travel dates, and budget, and the system automatically generates a complete, structured, and personalized itinerary. Leveraging advanced Artificial Intelligence models including Google Gemini API, the application analyzes user preferences to suggest suitable attractions, accommodations, and daily schedules tailored to individual needs. The platform offers an interactive experience where users can modify plans, explore alternatives, and receive real-time guidance. Built using React.js, TypeScript, Tailwind CSS, and cloud-based data management, TripSage minimizes manual effort and enhances the overall travel planning process. The system integrates natural language processing capabilities to understand user intent and deliver context-aware travel recommendations. This approach makes trip organization faster, more accessible, and highly personalized for a wide range of users.

KEYWORDS

Artificial Intelligence Travel Planning Itinerary Generation Natural Language Processing Recommendation System Google Gemini API React.js

Cite This Article

PRAGELAN H, PRANESHWARAN A J, RAJESH R, SABARI VASAN C S, SANDHIYA S, "TRIPSAGE: AI TRAVEL GUIDE – AN INTELLIGENT TRAVEL PLANNING APPLICATION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026. https://doi.org/10.55041/ijsrem61004

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Publication Date

4/22/2026

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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