MaxHalford/taxi-demo-rp-mz-rv-rd-st

🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations

31
/ 100
Emerging

This project helps operations managers and data scientists understand and predict taxi trip durations in real-time. It takes live taxi pick-up and drop-off events and outputs continuously updated predictions for trip times, along with a dashboard to monitor prediction performance. Fleet managers and transportation analysts can use this to optimize routing or resource allocation.

No commits in the last 6 months.

Use this if you need a clear demonstration of how to build an online machine learning system that continuously learns and predicts from live data streams.

Not ideal if you're looking for a production-ready solution without modification, as this is a self-contained demonstration for learning purposes.

transportation-analytics fleet-management real-time-predictions data-streaming predictive-modeling
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

44

Forks

3

Language

Python

License

MIT

Last pushed

Mar 06, 2023

Commits (30d)

0

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