Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)

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A travel guide using dynamic web based frame works

Authors
A. Rakesh sarma1, A. V. N. Bharath2, *, N. Umasankari3, D. Geethanjali4
1Student, Department. Of Computer Science Engineering (B.E.), Sathyabama Institute of Science and Technology, Chennai, India
2Student, Department. Of Computer Science Engineering (B.E.), Sathyabama Institute of Science and Technology, Chennai, India
3Assistant professor, Department. Of Computer Science Engineering (B.E.), Sathyabama Institute of Science and Technology, Chennai, India
4Assistant professor, Department. Of Computer Science Engineering (B.E.), Sathyabama Institute of Science and Technology, Chennai, India
*Corresponding author.
Corresponding Author
A. V. N. Bharath
Available Online 17 October 2023.
DOI
10.2991/978-94-6463-250-7_11How to use a DOI?
Keywords
India; Goibibo; MakeMyTrip; ReactJs
Abstract

This research compares and contrasts the two most popular travel websites: Goibibo, which started off as a travel booking website but subsequently added a modern approach, and MakeMyTrip, which is wholly focused on the Travel and web application. In order to compare the information on lodging in India, the Central Database of Hotels and Similar Establishments, which is published by both the Central Statistical Office of India and the Ministry of Sport and Tourism, was used. The goal of the article is to evaluate the relevance and veracity of information that is readily available online, first from the standpoint of a potential consumer, and then for its use in market research. Yet, websites may be used for electronic word-of-mouth by both customers and businesses. The study’s foundation is a comprehensive content analysis of social media for tourists. The research advances both academic research and the travel sector. It also presents a future agenda and indicates certain holes in the current activities.

To implement our plan, we have chosen to make use of the ReactJs framework. ties our models to variables and utilizes HTML and CSS to classify the desired value on the page. Provided that it is a user-friendly website. The advantage of this paradigm is that it makes it simple for users to comprehend the values that have been categorised. Users can utilize our website to learn the fundamentals of a condition's status.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
Series
Advances in Computer Science Research
Publication Date
17 October 2023
ISBN
10.2991/978-94-6463-250-7_11
ISSN
2352-538X
DOI
10.2991/978-94-6463-250-7_11How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Rakesh sarma
AU  - A. V. N. Bharath
AU  - N. Umasankari
AU  - D. Geethanjali
PY  - 2023
DA  - 2023/10/17
TI  - A travel guide using dynamic web based frame works
BT  - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
PB  - Atlantis Press
SP  - 54
EP  - 59
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-250-7_11
DO  - 10.2991/978-94-6463-250-7_11
ID  - Rakeshsarma2023
ER  -