Year: 2025
Type: article
Abstract: : Manual trip planning is typically a time-consuming process with a large number of tools and sources of information. The travellers need to look for destinations, route plan, verify travel times, and locate appropriate restaurants and hotels within their budget. This project is proposing a Smart Trip Planner web application that makes the trip planning process easier using Artificial Intelligence and real-time data APIs. It uses user inputs like destination, date of travel, hobbies, and expenses in form fields or conversations of chatbots. It outputs day-wise customized trip planning along with recommended paths, attractions, eatery stops, and rest facilities. It uses a MERN stack of technology for deployability and harnesses Google Maps, Places, and Directions APIs for accurate fetch. Moreover, Dialogflow is employed to build a natural-language conversational agent. The smart system strives to offer trip planners a personalized, automatic, and interactive trip-planning experience, realizing saving time and effort in traveling preparation and maximization of traveling satisfaction
Author: Sunkawar Gajanan
Institution: Guru Nanak Institutions
Language: English
Topic: Mobile and Web Applications
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410726339