Data Science for Emergency Services v0.0.1

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Real-Time Units Gps Tracking

Category: architecture | Status: In progress

1 min to read

GitHub repo
Implementation of a real-time GPS tracking service with Python and Apache Kafka.

This project show how to broadcast, consume and plot GPS data in real-time. See the README.md on GitHub for details.

Apache Kafka is a scalable, fault-tolerant, publish-subscribe messaging system, used for building real-time data pipelines and streaming apps. It uses Zookeeper to track status of kafka cluster nodes. It also keeps track of Kafka topics, partitions etc.

ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.

See also

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date_range 19/06/2020

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The response time is one of the most important factors for emergency services because their ability to save lives and rescue people depends on it. A non-optimal choice of an emergency vehicle for a rescue request may lengthen the arrival time of the rescuers and impact the future of the victim. This choice is therefore highly critical for emergency services and directly rely on their ability to predict precisely the arrival time of the different units available.

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Real-Time Data Replication Between Remote Information Systems

date_range 26/04/2020

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More than ever people are expecting to share, access and get data processed in real-time. Unfortunately on this subject, public services are lagging far behind the private sector.

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How to contribute

date_range 17/04/2020

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Emergency services have for most of them limited data analytics ressources and a wide range of common data mining problems.

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