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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37990

Travel Buddy Application Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM37990

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37990

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.

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Authors

PG

Prasad Gophan

AG

Akanksha Gore

GT

Ganesh Totare

NI

Niranjan Ithape

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Abstract

Travel Buddy is an intelligent travel companion that aims to enhance the travel experience by assisting travelers with efficient trip planning, organization, and execution. This comprehensive platform provides personalized recommendations, booking support, itinerary management, and navigation services. This paper delves into the development of Travel Buddy, shedding light on its system architecture, algorithm, and key features. Using machine learning and user preferences, Travel Buddy aims to elevate the travel experience for its users. Key focal points include personalized recommendations, trip planning, system architecture, and artificial intelligence.

KEYWORDS

Travel Buddy personalized recommendations trip planning artificial intelligence Machine Learning Algorithms Accommodation.

Cite This Article

Prasad Gophan, Akanksha Gore, Ganesh Totare, Niranjan Ithape, "Travel Buddy Application Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024. https://doi.org/10.55041/IJSREM37990

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Publication Date

10/17/2024

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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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