Naviator

Enhancing Flight Navigation Mechanism for Optimal Route Planning and Risk Mitigation

Naviator is an advanced flight navigation system designed to calculate the best possible paths between two airports, providing real-time updates on weather, distance, and time. It also performs risk assessments using weather data to ensure a safe and efficient journey.

Features

• Optimal Route Planning: Calculates the most efficient routes between airports to minimize travel time and distance.
• Real-Time Weather Updates: Provides up-to-date weather information affecting the flight path.
• Distance and Time Estimates: Offers accurate distance and estimated time of arrival based on current flight conditions.
• Risk Assessment: Analyzes weather data to assess and mitigate potential risks along the route.
• User-Friendly Interface: Easy to use interface for inputting departure and destination airports.

Tech Stack

• Backend: Django
• Frontend: React (Vite, Tailwind CSS)
• Database: PostgreSQL
• Datasets: Flight routes and airports data

Docker Installation

1. Build:

   • Build and run the compose project:

     docker compose up --build

   • Access the server at localhost:3000

Installation

1. Clone the repository:

   git clone https://github.com/aryangautm/flight_navigation.git

2. Navigate to the project directory:

   cd flight_navigation

3. Create a Virtual Environment and Install the backend dependencies:

   pip install -r requirements.txt

4. Install the frontend dependencies:

   cd flightend
   npm install
   cd ..

5. Set up the PostgreSQL database:

   • Ensure PostgreSQL is installed and running.
   • Create a .env file in the base directory (Refer sample.env)
   • Add the DATABASE_URL in the .env file.

6. Apply database migrations:

   python manage.py makemigrations
   python manage.py migrate

7. Load datasets for flight routes and airports:

   python manage.py loaddata flight_routes.json
   python manage.py loaddata airports.json

8. Run the development server:

   • Start the Django server:

     python manage.py runserver

   • Start the Vite development server for React:

     cd frontend
     npm run dev

Usage

1. Open your browser and navigate to http://localhost:8000 for the backend API and http://localhost:5173 for the frontend interface.
2. Enter the IATA codes for the departure and destination airports.
3. View the optimal route, along with weather updates, distance, time estimates, and risk assessment.

Future Scope

• Integration with Air Traffic Control Systems: Enhance route planning by integrating with real-time air traffic data.
• Machine Learning for Improved Risk Assessment: Utilize machine learning algorithms to predict and mitigate potential risks more accurately.
• Mobile Application: Develop a mobile app to provide navigation updates and alerts on-the-go.
• Multi-Language Support: Add support for multiple languages to cater to a global audience.
• User Preferences and Profiles: Allow users to save preferences and frequently traveled routes for quicker access.

Contributing

We welcome contributions to improve Naviator! Here are some ways you can help:

• Report bugs and issues
• Suggest new features or enhancements
• Submit pull requests with improvements or fixes

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Enhance your flight navigation experience with Naviator - ensuring optimal routes and safety in the skies!