Travel Planning and Route Optimization System

Authors

  • Ms.M Amshavalli Assistant Professor, Department of CSE, Erode Sengunthar Engineering College, Perundurai, Erode. Author
  • Lithan T Student, Department of Computer Science and Engineering, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author
  • Manoj Kumar M Student, Department of Computer Science and Engineering, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author
  • Rohith Kumar Sm Student, Department of Computer Science and Engineering, Erode Sengunthar Engineering College, Perundurai, Erode, Tamilnadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0327

Keywords:

Relaxed & Chill, Adventurous & Thrilling, Cultural & Immersive, Luxurious & Pampered

Abstract

The website serves as a one-stop solution for travelers looking to explore new destinations, find accommodations, and plan activities. Key features include a user-friendly interface that allows users to input their preferences such as budget, interests, and travel dates to receive personalized itinerary suggestions. The platform integrates real-time data on flights, hotels, and local attractions, ensuring accurate and up-to-date information for users. Users can access a range of tools, including a budget calculator, travel checklist, and packing guide, enhancing their planning experience Additionally, the website offers the option to save Allow users to select their current mood or desired vibe for their trip, and generate personalized itineraries based on that. For example: Relaxed & Chill: Spa destinations, beach resorts, quiet countryside retreats. Adventurous & Thrilling: Hiking trails, extreme sports, jungle safaris. Cultural &Immersive: Historical sites, local festivals, cooking classes. Luxurious & Pampered: 5-star hotels, fine dining, private tours. Social & Party: Nightlife hotspots, group tours, festivals the website will incorporate a Collaborative Filtering approach, allowing users to rate and review destinations, attractions, and activities. This data will be used to improve the accuracy of itinerary recommendations, creating a community-driven travel planning experience. The website will incorporate a Collaborative Filtering approach, allowing users to rate and review destinations, attractions, and activities. This data will be used to improve the accuracy of itinerary recommendations, creating a community-driven travel planning experience.

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Published

2025-05-24