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
- 0.00