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End-to-end RSS news classification app using Spark MLlib, Kafka, Flask/RxJS

Dataset created and used within the context of the study published in the paper entitled "Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems" that has been published at the 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP '23).

End-to-end 'weather monitor' Docker Compose application using Flink (DataStream API), Kafka and Streamlit

Data contributed by citizens to the Historypin task.

End-to-end 'cryptocurrency price tracker' Docker Compose application with Kafka producer/multiple consumers, Streamlit/Plotly

End-to-end 'ISS tracking' application featuring an RxJava/RxPY backend and an RxJS frontend

A Dataset for Miniature Car Lane Detection