- Simulates flight data of planes racing from the USA to Europe.
- Real-time visualization of plane positions on an interactive map.
- Demonstrates data generation, persistence, API creation, and mapping techniques.
- Uses a combination of Python, PostgreSQL, and JavaScript technologies.
- Nginx reverse proxy and docker setup for production deployment.
- Flexible and extensible for future data engineering projects.
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🏠 On-Premise Capabilities: Customized mapping implementation is possible for avoiding FOSS licensure conflicts.
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🚀 Expanding Beyond Flight Data: We can effortlessly visualize any geospatial dataset, offering endless possibilities, including:
- Incident Reporting and Visualization: Monitor and visualize incidents of interest, like car accidents or environmental events, providing a clear overview of occurrences and patterns.
- IoT Device Monitoring: Extend the system to oversee installed IoT devices, showcasing real-time statuses and locations, enabling effective management and control.
- Supply Chain Tracking: Track shipments, goods, and materials across the supply chain, enhancing transparency and optimizing logistics.
- Natural Disaster Assessment: Rapidly assess and respond to natural disasters by visualizing affected areas and coordinating rescue efforts.
apt update && apt upgrade -y
apt install docker.io docker-compose -y
git clone https://github.com/koufopoulosf/Flight_Data_Simulation && cd Flight_Data_Simulation
docker-compose up --build