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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45112

TripMitra : Travel Recommendation System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45112

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45112

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

KSP1RwFK

Komal Sheshnarayan Pandey 1 Raza warsi Faiz Khan2

AAN3

Anajli AshokKumar Nishad 3

SBR4

Simran Bharatsingh Rawat 4

DK

Dr.Vikas Kaul

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Abstract

Tourism is a rapidly growing industry, and travelers often seek personalized recommendations to explore destinations that align with their interests. TripMitra is a web-based travel recommendation system designed to provide intelligent and customized travel suggestions based on user preferences and interactions. The system incorporates machine learning algorithms to enhance the accuracy of recommendations and features an image-based search that allows users to upload a photo to find visually similar destinations.Developed using Flask (Python) for backend processing, OpenCV for image analysis, MySQL for secure data storage, and Google Maps API for navigation and location-based services, TripMitra provides an interactive and user-friendly experience. Additionally, real-time weather updates help travelers make informed decisions while planning their trips. By leveraging computer vision and recommendation algorithms, TripMitra enhances the way travelers discover new destinations. The platform aims to create a seamless travel planning experience by integrating intelligent search mechanisms and data-driven recommendations.

KEYWORDS

Travel recommendation system Flask OpenCV Google Maps API MySQL machine learning personalized travel tourism technology.

Cite This Article

Komal Sheshnarayan Pandey 1 Raza warsi Faiz Khan2, Anajli AshokKumar Nishad 3, Simran Bharatsingh Rawat 4, Dr.Vikas Kaul, "TripMitra : Travel Recommendation System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45112

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Publication Date

4/19/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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1

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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