leffff/AI-IJC

1st place solution to AI IJC Customer Service task

25
/ 100
Experimental

This project helps taxi fleet managers identify and understand aggressive driving behaviors among their drivers. By analyzing taxi route data, customer comments, and order details, it predicts which drivers are likely to drive aggressively and extracts specific reasons from feedback. The output helps in evaluating driver performance and can inform reward systems or training interventions.

No commits in the last 6 months.

Use this if you manage a taxi fleet and need to proactively identify aggressive driving patterns, understand the root causes from customer feedback, and segment drivers for performance management.

Not ideal if you are looking to analyze general customer sentiment unrelated to driving behavior or if your data lacks detailed route information and customer comments.

taxi-fleet-management driver-behavior-analysis customer-feedback-analysis transportation-operations risk-assessment
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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8

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2

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Last pushed

Aug 15, 2022

Commits (30d)

0

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