Sunseeker

App to find destinations based on the preferred activity and weather predictions using GPT4 and Weather API.

# Tech Stack 🛠️

JavaFX: Utilized for the graphical user interface.

Vanilla Java: Core language for the application logic.

Azure Open AI Services

Features 🌟

Background Images: The app starts with captivating background images fetched from the Unsplash API to create an immersive experience. Multistep Form:

• Users select preferred activities.
• Users choose their desired weather conditions.
• Users select accommodation type.
• Users input location, check-in and check-out dates, travel distance preference - (nearby, inside the country, outside the country, overseas), budget, and company type - (solo, family, friends, etc.).
• GPT Model Integration:
  • Using a GPT model, the app generates a list of top destinations based on the user's - selections.
• Open Meteo API Integration:
  • The app makes an API call to Open Meteo to validate that the weather for the next 10 days - matches the user's criteria for the selected destinations.
• Top 3 Destinations:
  • After processing the user input and weather validation, the app presents the top 3 recommended destinations to the user.
• Using the TravelMyth's API we get the destination's info

Installation 🚀

1. Clone the repository: git clone https://github.com/your-username/sunseeker.git

2. Open the project in your preferred Java development environment (e.g., IntelliJ IDEA, Eclipse).

3. Ensure Maven Installation: Check if Maven is installed by running

      mvn -v

   If Maven is installed, it will display version information. If not, you'll need to install Maven following the installation instructions.

4. Run the Project: Using Maven

      mvn javafx:run

Usage 🌍

1. Upon launching, the app displays background images fetched from Unsplash.
2. Follow the multistep form to input your preferences:

• Select activities.
• Choose weather preferences.
• Specify accommodation type.
• Provide location, dates, travel distance, budget, and company type.
• Click "Submit" to generate top destination suggestions.

3. The app will display the top 3 destinations along with relevant information and weather validation for the next 10 days.

Run Locally

Clone the project

  git clone https://link-to-project

Go to the project directory

    cd makeathon/xbirds

Start the app

  mvn javafx:run