Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{191542,
        author = {Mohit Kumar Choudhary and Charul Chhipa and Yogesh Singh Rajawat and Ronak Sharma and Shreya Agarwal},
        title = {Wanderlust: Travel Planner},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {7319-7324},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191542},
        abstract = {Planning a trip is often difficult because people need to search for places, collect information from different websites, and manually create a day-wise plan. To solve this common problem, we built Wanderlust, a MERN-based travel planner web application. Wanderlust provides users a single platform where they can explore tourist destinations, read descriptions, check images, save their favorite places, and create a complete itinerary for their trip. The design of the application is simple and easy to understand, making it useful even for first-time travelers or students who have little experience in planning trips.
The Wanderlust system is built using the MERN stack: MongoDB for storing user and destination data, Express.js and Node.js for backend APIs, and React.js for the frontend interface. Admin users can add new destinations, edit existing entries, or remove outdated information. This makes the system dynamic and expandable.
This research paper explains the complete development life cycle of Wanderlust, including requirement analysis, architecture design, database modeling, frontend and backend development, testing, results, and future improvements. Testing was performed manually as well as through Postman, and all major features worked successfully. Wanderlust can be further improved by integrating maps, AI-based recommendations, and budget estimation. Overall, the system provides a smooth and user-friendly experience, helping users plan their trips in a more organized way.},
        keywords = {Travel Planning, MERN Stack, Itinerary Man- agreement, Full-Stack Web Application, Tourism Technology},
        month = {January},
        }