Travel With Generator AI: A Novel Approach to Itinerary Creation

The usual problems that arise are in the efficiency of itinerary planning of the Travelers. The problem with all travel options and destinations is the challenge of organizing a personal itinerary according to personal preferences, constraints, and interests. Traditional methods of itinerary planning are both inflexible and time-consuming, which produces many generic recommendations that do not take into consideration the preferences of the travelers or address the comprehensive travel experience. These problems are solved by our app: it incorporates user preferences into the itinerary generation, allowing the input of user preferences by the users. Machine learning algorithms then analyze these preferences and generate personalized recommendations based on them. This way, each itinerary is specifically tailored to your needs, making the experience that much more enjoyable and fulfilling.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/iccubea61740.2024.10775161
Citations
1
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.20
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Travel With Generator AI: A Novel Approach to Itinerary Creation

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1 citations
Transportation and Mobility Innovations
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article

Travel With Generator AI: A Novel Approach to Itinerary Creation

Nitisha Jain, Ranjeet Vasant Bidwe, R. J. Dias, R. Dhamija, Sashikala Mishra, Mamta Gupta, Ganesh Deshmukh
article en
1 citations

Abstract

The usual problems that arise are in the efficiency of itinerary planning of the Travelers. The problem with all travel options and destinations is the challenge of organizing a personal itinerary according to personal preferences, constraints, and interests. Traditional methods of itinerary planning are both inflexible and time-consuming, which produces many generic recommendations that do not take into consideration the preferences of the travelers or address the comprehensive travel experience. These problems are solved by our app: it incorporates user preferences into the itinerary generation, allowing the input of user preferences by the users. Machine learning algorithms then analyze these preferences and generate personalized recommendations based on them. This way, each itinerary is specifically tailored to your needs, making the experience that much more enjoyable and fulfilling.

Symbiosis International University (IN)
Openalex Percentile: Top 46%
Transportation and Mobility Innovations
0.20
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