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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: October 2025
Volume 10 | Issue 10
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18080
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Total Authors : 20484
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| Paper Title: | JourneyJolt AI-Based Travel Planning |
| Authors Name: | Sakshi Yadav , Gayatri Raul , Lavanya Banodha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202361
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| Published Paper Id: | IJRTI2504137 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | JourneyJolt is a sophisticated, AI-powered travel planning application developed with the goal of simplifying, accelerating, and enriching the travel planning experience. It utilizes artificial intelligence to analyze user preferences and behavioral patterns to deliver highly personalized suggestions for destinations, accommodations, and activities. By considering variables such as travel duration, budget constraints, user interests, weather forecasts, and ongoing events, JourneyJolt produces tailor-made travel recommendations that adapt to each user's unique profile. One of its most innovative features is automated itinerary generation, which creates fully-structured travel schedules optimized for efficiency, enjoyment, and practicality. The app also integrates real-time responsiveness, allowing for adjustments based on live updates, ensuring flexibility throughout the travel process. JourneyJolt is engineered using a modern and powerful technology stack that includes React and Vite for frontend development, Tailwind CSS for UI styling, Firebase and Auth0 for secure backend services and authentication, and Google Cloud and Gemini AI for scalable intelligence and data processing. Real- time notifications are enabled using React Hot Toast, contributing to a seamless and interactive user experience. The system architecture, methodologies, and technical challenges tackled during the app's development are thoroughly explored in this paper. Moreover, JourneyJolt stands as a pioneering example of how artificial intelligence can be leveraged to transform travel planning for both occasional vacationers and frequent explorers, paving the way for a smarter, more responsive future in tourism technology. |
| Keywords: | Artificial Intelligence in Travel, Personalized Trip Planning, Intelligent Itinerary Generation, Real-Time Travel Optimization, Gemini AI Integration, React and Firebase, Smart Travel Assistant, Scalable Cloud-based Travel App |
| Cite Article: | "JourneyJolt AI-Based Travel Planning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b285-b288, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504137.pdf |
| Downloads: | 000272 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504137
Registration ID:202361
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b285-b288 Country: Mira Road(East), Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504137 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504137 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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