I developed a real-time position tracking system leveraging Kafka and FastAPI to display user locations on an interactive map. The objective was to build a reliable and scalable solution capable of handling continuous geolocation updates with minimal latency.

At the core of the system, I implemented a Kafka-based data pipeline to efficiently process, stream, and distribute geolocation data. This architecture ensured high throughput, fault tolerance, and smooth handling of real-time data flows across different services.

The backend was seamlessly integrated with a dynamic mapping interface, enabling fluid, real-time visualization of user movements. This combination of streaming technologies and interactive UI capabilities resulted in a responsive and robust tracking solution suitable for live monitoring applications.