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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM31157

Comprehensive Travel Companion: A Hybrid Recommendation and Route Planning System for Globetrotting

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM31157

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM31157

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

MS

Mayuri Shigwan

PT

Priyanka Tambe

PT

Pranjal Tambe

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Abstract

This paper presents a comprehensive AI-powered travel companion system designed to enhance the travel experience for globetrotters. Leveraging cutting-edge artificial intelligence (AI) techniques, the system combines image recognition, recommendation algorithms, and route planning functionality to provide personalized travel recommendations and seamless navigation. The integration of collaborative filtering, content-based recommendation, and real-time route optimization algorithms ensures that users receive tailored suggestions and efficient travel routes based on their preferences, interests, and current context. The architecture, implementation details, and evaluation of the proposed system are discussed, highlighting its effectiveness in facilitating immersive and enjoyable travel experiences.

KEYWORDS

Travel Companion Recommendation Systems Route Planning Image Recognition Collaborative Filtering Content-Based Recommendation Dijkstra’s Algorithm.

Cite This Article

Mayuri Shigwan, Priyanka Tambe, Pranjal Tambe, "Comprehensive Travel Companion: A Hybrid Recommendation and Route Planning System for Globetrotting," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM31157

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12/31/45401

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