🧳 Itinerary Planner - Smart Tour Recommendation System

A modern Java web application that recommends personalized tour packages based on user preferences. Built using Vaadin Flow, Spring Boot, and MongoDB.

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🚀 Features

• 🔐 User Authentication (Login / Logout)
• 🎯 Personalized Tour Recommendations
• 🔍 Trip Type Filtering (Adventure, Relaxation, Cultural, etc.)
• 📋 Preference Management (budget, dates, accommodation, food)
• 📦 Dynamic Package Display using Vaadin Cards
• 📱 Responsive UI built entirely in Java (Vaadin Flow)
• 🌐 Admin/Custom control over tour packages via MongoDB

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🧰 Tech Stack

Layer	Technology
UI	Vaadin Flow (Java-based UI framework)
Backend	Spring Boot (REST-ready)
Database	MongoDB (NoSQL) using Spring Data
Styling	Custom CSS with CSS Variables
Authentication	Custom AuthService
Build Tool	Maven
Language	Java 17+

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📁 Project Structure

src/
├── main/
│   ├── java/
│   │   ├── org.vaadin.example/
│   │   │   ├── model/               # Data models (UserPreferences, TourPackage)
│   │   │   ├── repositories/        # MongoDB Repositories
│   │   │   ├── service/             # Filtering & Auth Services
│   │   │   ├── layout/              # MainLayout (Sidebar, Navigation)
│   │   │   └── views/               # UI Views (Dashboard, Preferences, etc.)
│   └── resources/
│       └── application.properties   # MongoDB config

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⚙️ Getting Started

1. Clone the Repository

git clone https://github.com/your-username/itinerary-planner.git
cd itinerary-planner

2. Configure MongoDB

Set your MongoDB URI in application.properties:

spring.data.mongodb.uri=mongodb://localhost:27017/itinerary_planner

3. Run the App

Use your IDE or terminal:

./mvnw spring-boot:run

Access the app at:
📍 http://localhost:8080

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🧪 Test Data

• Tour packages and preferences can be seeded via MongoDB Compass or CLI.
• Sample package structure:

{
  "packageId": "goa_adventure_3d_15k",
  "destination": "Goa",
  "budgetRange": [10000, 15000],
  "tripType": "Adventure",
  "tripDuration": 3,
  "accommodation": {
    "type": "Resort",
    "budgetAllocation": 5000,
    "ratings": [3, 4],
    "amenities": ["WiFi", "Breakfast"]
  }
}

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✨ Future Enhancements

• 📍 Google Maps Integration for destinations
• 🧠 AI-powered smart recommendations
• 📅 Custom Itinerary Planner