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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
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| Paper Title: | TRIPZY-AI POWERED TRAVEL AND ITINERARY PLANNER |
| Authors Name: | Tanisha Garg , Swastika Gupta , Tannu Sharma , Deepanshu , Deepa Solanki |
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IJRTI_212154
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| Published Paper Id: | IJRTI2604330 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | The broad selection of destinations, mode of transportation, hotel booking systems, weather conditions and cost considerations have made travel planning more complex than ever. The conventional process of trip planning used to take a lot of time as travelers had to visit several sites and compare their offers and schedules, calculate the costs, and choose the appropriate options manually. The process can result in confusion, delays, unnecessary expenditure, and loss of satisfaction when traveling. To overcome these issues, in the current study, TRIPZY was suggested as an intelligent solution to the modern tourism requirements, i.e., TRIPZY Travel Planner Framework: Effortless and Smooth Travel Planning. TRIPZY is aimed at being an Artificial Intelligence-based system that combines the use of Machine Learning, Natural Language Processing, Recommendation Systems, Route Optimization, and Real-Time Data Analytics to automatically plan the entire travel process. Through the framework, the user is able to get customized destination recommendations, hotel recommendations, transportation recommendations, optimized routes, cost projections, and real-time notifications about weather or delays. The system considers the preferences of the travelers including budget, length of travel, purpose of travel and interests, to come up with highly customized plans. As the study results have shown, TRIPZY can decrease the time required to plan the route considerably, increase the efficiency of the route and manage the costs of travelling as well as increase the user satisfaction in comparison to standard planning methods. The framework also shows the real-life significance of the merging of various travel services into one smart platform. TRIPZY has great future prospects to travelers, travel agencies and tourism businesses that are in need of smart and seamless planning. The research finds that Artificial Intelligence has the potential to become a game changer in developing the future of digital tourism and personalized travel experiences. |
| Keywords: | Artificial Intelligence, Travel Planner, Smart Tourism, Machine Learning, Personalized Recommendation, Route Optimization, Tourism Technology, Natural Language Processing, Budget Planning, Itinerary Generation |
| Cite Article: | "TRIPZY-AI POWERED TRAVEL AND ITINERARY PLANNER", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c459-c468, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604330.pdf |
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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: IJRTI2604330
Registration ID:212154
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c459-c468 Country: GHAZIABAD, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604330 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604330 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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