Stefen-Taime/car-price-predictor

Predicting Car Prices with FastAPI, Streamlit, MLflow, Kafka, and Debezium: A Practical Demonstration

24
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Experimental

Implements a complete event-driven ML pipeline using Debezium to capture PostgreSQL changes into Kafka topics, enabling asynchronous model updates and predictions decoupled from API requests. The system combines Streamlit for interactive visualization, FastAPI for REST endpoints, MLflow for model versioning, and MinIO for artifact storage—all orchestrated through Docker Compose with Kafka as the central event bus.

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No License Stale 6m No Package No Dependents
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23

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10

Language

Python

License

Last pushed

Nov 12, 2024

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