International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 09 | Sep 2024
p-ISSN: 2395-0072
www.irjet.net
Gateway Guide – ML Powered Travel Itinerary Curation P Jahnavi1 Velagapudi Ramakrishna Siddhartha Engineering College ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - A travel itinerary generator is a tool that helps you plan your trips in a customized and efficient way. It effortlessly combines activities, accommodations, and routes to create a seamless and personalized travel experience just for you. Getaway Guide is an AI powered travel itinerary system for corporate professionals to take a break during long weekends or business trips in Karnataka, India. It uses deep learning to combine user preferences, a massive Points of Interest database and real time data to give personalized recommendations and optimize travel plans. The methodology involves collecting data from geographic databases and APIs, clustering Points of Interest using Gaussian Mixture Model and Ant Colony Optimization to find the best travel routes. Real time weather forecasts are used to fine tune the travel plans and HERE API is used for route generation. Evaluation showed high accuracy in personalized itineraries and efficiency in travel paths, Ant Colony Optimisation minimized travel distance and time and Gaussian Mixture Model ensured relevant Points of Interest. Getaway Guide changes the way travel planning happens in Karnataka by giving personalized and efficient solutions to corporate professionals, saving time and effort and giving unique and immersive travel experiences. This is a big leap in AI powered travel planning catering to modern business travelers.
Getaway Guide is tailored to suggest destinations and activities that are perfect for corporate professionals seeking quick getaways. It uses advanced deep learning techniques to provide personalized recommendations and optimize travel plans. By considering a vast database of Points-ofInterest (POIs) within Karnataka, user preferences, and realtime data, Getaway Guide helps corporate travelers create immersive and customized experiences. Whether you're interested in exploring vibrant cities, cultural landmarks, or natural wonders, Getaway Guide adjusts to your preferences. Its aim is to enhance the travel experience for corporate professionals in Karnataka, whether they're attending conferences or simply taking a break from work. In the following sections, we'll dive into the methodology behind Getaway Guide, explaining its core modules and algorithms. By understanding how it handles user input, generates itineraries, and refines recommendations, we'll gain insight into how Getaway Guide transforms travel planning for corporate professionals in Karnataka. In this age of technological advancement, Getaway Guide represents a fresh approach to travel planning, providing personalized and efficient solutions for exploring Karnataka. With its combination of AI algorithms and user-friendly design, Getaway Guide aims to offer corporate professionals enriching travel experiences within the state.
Key Words: Optimal Route, Clustering, Ant Colony Optimisation, Folium, Gaussian Mixture Model, Points of Interest
2.LITERATURE REVIEW Divya Mereddy et al.’s [1] study is based on the Hamilton graph using HDBSCAN clustering, with tourist limitations taken into consideration. A Hamilton tree is created using the geospatial distance between the points and the closest neighbours. After that, HDBSCAN clustering is used to divide the tree into clusters. Up until the cluster time spent is roughly equivalent to K hours, the data is further separated into sub-clusters. Therefore designing an itinerary plan that is optimized. Chao Yu et al. [2] present a personalized travel itinerary for a travellers with similar needs. The following factors are used to compute the similarity: ”hotel,” ”restaurant,” ”travel time,” and ”attractions.” Later, tour itineraries are customized for each group separately using online information resources. In the end, the cost of the tour is decided, usually in direct proportion to the number of participants, and includes a specified itinerary and route. Remigijus Paulavicˇius et al.’s [3] research determines which attractions are the most appropriate based on a number of parameters, including the maximum tour length, required visits, start and finish locations, and amount of time spent at comparable attractions. Finding optimal or nearly optimal
1.INTRODUCTION Planning trips online has become so much easier with the rise of travel planning tools. But still, many travelers find it challenging to create personalized itineraries that suit their interests and travel needs. This struggle is especially felt by corporate professionals who are looking for quick getaways during long weekends or business trips in Karnataka, India. Karnataka is not only known for its abundance of tourist attractions but also as a hub for technical conferences and corporate events, making it a popular destination for business travelers. The traditional way of planning trips involves browsing through various websites and guidebooks, which can often lead to confusion and exhaustion. Existing travel platforms usually offer generic recommendations that fail to cater to individual preferences. That's where Getaway Guide comes in. It's an AI-powered travel itinerary system designed specifically for travelers in Karnataka.
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