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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54674
Volume:
9 |
12 |
Dec 2025
Pages:
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.
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
Publication Date
2/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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