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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53984
Volume:
9 |
11 |
Nov 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.
AI-powered recommendation systems for trip planning help travellers choose the best places to visit, stay, and explore based on their preferences. These systems use artificial intelligence and machine learning to analyse information such as user interests, past trips, budget, location, and weather conditions. By processing large amounts of data, the system suggests personalized travel plans, including destinations, hotels, transportation, and activities. It also improves the user experience by providing quick and accurate recommendations, reducing the time and effort needed for planning. Overall, AI-powered trip planning systems make travel easier, smarter, and more efficient by understanding user needs and offering tailored solutions. AI-powered recommendation systems for trip planning are smart tools that help travellers create better travel plans with less effort. These systems use artificial intelligence to understand the user’s interests, budget, time, and travel style.
KEYWORDS
Publication Date
11/14/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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