TripVerse - An AI-Powered Flight Booking and Travel Planning System

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Authors: Dhanashri Lamane
Cited by: 0

Abstract

In the past, travelers were able to use many separate sites to look for flights, book hotels, plan their itineraries, check the weather, and confirm their travels. Decision difficulty, time consumption, and cognitive strain are all increased by this disjointed workflow. Current systems frequently lack intelligent service coordination and offer little automation. TripVerse is a full-stack artificial intelligence (AI) flight booking and travel planning system that uses natural language interaction to provide an integrated and intelligent user experience. To facilitate autonomous coordination among specialized intelligent agents, the platform uses Agentic AI, Agent-to-Agent (A2A) communication, and a structured Message Communication Protocol (MCP). In order to search flights, make reservations, create customized itineraries, and get real-time alerts, users can engage in chat. The system incorporates Google Gemini AI for natural language comprehension, a Weather API for real-time destination forecasts, and a SERP API for real-world data retrieval, including hotels, shopping centers, and tourist attractions. BookingAgent, TripPlannerAgent, NotificationAgent, and DataAgent make up TripVerse's multi-agent architecture, which uses MCP for queue-based message exchange. This approach allows for intelligent job delegation while improving fault tolerance, scalability, and modularity. The software also offers administrative dashboards, surveys, travel history tracking, and secure authentication. TripVerse shows how real-world data integration and autonomous AI agents can greatly enhance trip automation, personalization, and operational effectiveness

Fields of Study & Subjects

AI in Service Interactions Artificial Intelligence Applications Decision Support System Applications

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
1
Pages
1353–1358
Publication date
28 January 2026