Cloud-Enabled AI-Driven Interactive Travel Planning and Booking System

Today's travel planning demands solutions that are smart, flexible, and fast to meet people's needs. Traditional systems often find it hard to expand, respond slowly, and don't connect well because they rely on server-based setups. A new travel planning platform based on cloud technology solves these problems by combining cloud computing with AI for a more personalized experience. The system also enables real-time booking of flights, accommodations, and activities, ensuring accurate and up-to-date information through API integrations. Results indicate that the cloud-based architecture significantly enhances system reliability, reduces latency, and improves user engagement by offering a unified and intelligent travel planning solution. This approach not only streamlines the travel planning process but also ensures adaptability to changing user preferences and travel conditions.

Publication Details

Journal
PhilPapers (PhilPapers Foundation)
Published
2025-01-01
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
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article

Cloud-Enabled AI-Driven Interactive Travel Planning and Booking System

PhilPapers (PhilPapers Foundation)
Machine Learning in Bioinformatics
article

Cloud-Enabled AI-Driven Interactive Travel Planning and Booking System

article en

Abstract

Today's travel planning demands solutions that are smart, flexible, and fast to meet people's needs. Traditional systems often find it hard to expand, respond slowly, and don't connect well because they rely on server-based setups. A new travel planning platform based on cloud technology solves these problems by combining cloud computing with AI for a more personalized experience. The system also enables real-time booking of flights, accommodations, and activities, ensuring accurate and up-to-date information through API integrations. Results indicate that the cloud-based architecture significantly enhances system reliability, reduces latency, and improves user engagement by offering a unified and intelligent travel planning solution. This approach not only streamlines the travel planning process but also ensures adaptability to changing user preferences and travel conditions.

PhilPapers (PhilPapers Foundation)
Sustainable cities and communities
Openalex Percentile: Top 50%
Machine Learning in Bioinformatics
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Cloud-Enabled AI-Driven Interactive Travel Planning and Booking System · PhilPapers (PhilPapers Foundation) (2025) | TGRS Research Map | TGRS