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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35217

Travel Amigo-Customized Travel Planner Using AI GPT Model

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM35217

Volume:

8 |

6 |

Jun 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM35217

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

SA

Shruti Ahire

MD

Maitreyee Devde

HP

Hrishita Patil

PMSPH

Prof. Ms. S. P. Hon

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Abstract

The Travel Planner System offers real-time trip planning and predictive analysis of travel conditions by utilizing advanced machine learning techniques and real-time data processing. By integrating transportation networks with cloud computing, the system continuously gathers and evaluates travel data to enhance route optimization and identify potential delays. Equipped with intelligent data processing, dynamic trend analysis, and automated notifications, it ensures timely updates and informed decision-making for travelers. Through an intuitive web and mobile platform, users receive live updates, personalized route suggestions, and travel alerts to improve convenience and efficiency. This data-driven solution enhances travel experiences, supports smart transportation initiatives, and fosters seamless urban mobility by providing accurate insights for proactive travel management.

KEYWORDS

Intelligent Trip Planning – Direct Booking Facilitation – Inclusive Travel Accessibility – Digital Tourism Marketplace – Connecting Travelers with Service Providers – Effortless Itinerary Management – Online Travel Commerce – Transparent Pricing for Cost-Effective Travel – Technology-Driven Travel Platform – Direct Travel Solutions – Tourism Industry Growth – Digital Transformation in Travel – Smart Travel Solutions and User-Focused Booking – Digital Tourism Economy – Travel Planning System – Direct Sales in Travel – Innovation in Hospitality and Tourism – Travel Technology – E-Marketplace for Travel – Digital Travel Trade – Customized Trip Planning – Enhancing Travel Experiences – Increasing Travel Affordability

Cite This Article

Shruti Ahire, Maitreyee Devde, Hrishita Patil, Prof. Ms. S. P. Hon, "Travel Amigo-Customized Travel Planner Using AI GPT Model," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 6, Jun 2024. https://doi.org/10.55041/IJSREM35217

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Publication Date

4/18/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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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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