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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54674

Inditour: AI-Powered Travel Assistant for India

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54674

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54674

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

JN

Jenefa Nada1

KSSC

Khin Su Su Chit2

MKK

Min Khant Kyaw3

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Abstract

Travelling in new places, especially in foreign places, is quite challenging. Language barriers, different cultures, local traditions, navigating trips, citing health, safety, and local food taste are the main factors that influence the experience for the traveler. The tourism sector is a key factor for the country’s income and its Gross Domestic Product (GDP). To promote tourism and increase the satisfaction of foreign travelers, IndiTour is proposed as an Artificial Intelligence (AI)-driven mobile application travel assistant that aims to redefine how travelers explore India by providing a personalized experience. The application incorporates an itinerary planner, offline informational access, budget tracking, nearby attraction discovery, recommendations for local travel agents, and language translators all in one platform. It is built on Android (Java/XML) with Firebase backend and OpenAI’s language model integration. This paper includes IndiTour’s architecture, features, and modules that enable smart travel planning. The goal is to demonstrate how AI and mobile development technology can increase the travelers’ satisfaction rate.

KEYWORDS

Travel assistant Artificial Intelligence Itinerary Planning India tourism Mobile app Sustainable travel.

Cite This Article

Jenefa Nada1, Khin Su Su Chit2, Min Khant Kyaw3, "Inditour: AI-Powered Travel Assistant for India," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM54674

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Publication Date

2/11/2025

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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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