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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47485
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Travel planning poses unique challenges for students who must balance limited budgets and tight schedules. Frizbie is a web-based, AI-powered trip planner designed to streamline this process by generating personalized itineraries, providing smart recommendations, and offering real-time updates. Built with React.js, Firebase, and Google Gemini AI, Frizbie delivers a responsive and engaging user experience while prioritizing data security and cost-effectiveness. Unlike existing solutions, Frizbie specifically addresses student needs through budget-conscious recommendations, schedule flexibility, and campus-integrated planning. This paper presents the design, architecture, implementation, and potential impact of Frizbie as an intelligent, affordable, and efficient travel solution for students. In addition to the core functionalities, this article further explores the integration of user feedback loops and continuous enhancement cycles. Detailed case studies, extended performance metrics, and iterative improvements are discussed to reinforce the system’s adaptability in a dynamic travel market.
KEYWORDS
Publication Date
10/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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