Revolutionizing Travel Planning: An Image Based Destination Recognition and Recommendation System

Due to the abundance of information available online and the wide range of possibilities available, our preparation has become more difficult and time-consuming. This is especially true given that every visitor has different interests and preferred destinations in addition to tour-specific limitations like vaccination records and travel restrictions due to pandemics. A number of travel agencies and organizations have sprung up with more advanced internet services in an attempt to take advantage of the growing global travel market by employing technology to provide travelers with relevant recommendations. However, these systems often use a destination-based recommendation strategy and are sold in packages with little room for modification to account for the tastes of individual travelers. In order to overcome these restrictions. With the use of artificial intelligence-powered picture recognition, our TravelGaze system can now identify destinations from user-uploadedimages, marking a significant advancement in travel technology. In addition to recognition, the system offers customized trip suggestions that include neighboring lodging options, eateries, art galleries, and current weather information. The solution improves destination recognition accuracy and revolutionizes travel planning by utilizing cutting-edge AI algorithms. This paper offers insights for developers and stakeholders looking to reinvent how consumers explore and plan their travels, adding to the ongoing conversation on intelligent travel solutions.

Authors

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/acet61898.2024.10730034
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
1.13
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article

Revolutionizing Travel Planning: An Image Based Destination Recognition and Recommendation System

Vishal Goyal, Megha Gupta, Vanshika Rathi
1 citations
Digital Marketing and Social Media
1.13
article

Revolutionizing Travel Planning: An Image Based Destination Recognition and Recommendation System

Vishal Goyal, Megha Gupta, Vanshika Rathi
article en
1 citations

Abstract

Due to the abundance of information available online and the wide range of possibilities available, our preparation has become more difficult and time-consuming. This is especially true given that every visitor has different interests and preferred destinations in addition to tour-specific limitations like vaccination records and travel restrictions due to pandemics. A number of travel agencies and organizations have sprung up with more advanced internet services in an attempt to take advantage of the growing global travel market by employing technology to provide travelers with relevant recommendations. However, these systems often use a destination-based recommendation strategy and are sold in packages with little room for modification to account for the tastes of individual travelers. In order to overcome these restrictions. With the use of artificial intelligence-powered picture recognition, our TravelGaze system can now identify destinations from user-uploadedimages, marking a significant advancement in travel technology. In addition to recognition, the system offers customized trip suggestions that include neighboring lodging options, eateries, art galleries, and current weather information. The solution improves destination recognition accuracy and revolutionizes travel planning by utilizing cutting-edge AI algorithms. This paper offers insights for developers and stakeholders looking to reinvent how consumers explore and plan their travels, adding to the ongoing conversation on intelligent travel solutions.

Openalex Percentile: Top 16%
Digital Marketing and Social Media
1.13
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Revolutionizing Travel Planning: An Image Based Destination Recognition and Recommendation System — Vishal Goyal, Megha Gupta, et al. · (2024) | TGRS Research Map | TGRS