avikumart/Road-Traffic-Severity-Classification-Project
This is a multiclass classification project to classify severity of road accidents into three categories. this project is based on real-world data and dataset is also highly imbalanced.
This project helps traffic management and urban planning professionals predict the severity of road accidents. By inputting details about accident conditions, location, and other factors, it outputs a classification of the accident's likely severity (e.g., minor, serious, fatal). This tool is for traffic safety analysts, city planners, and law enforcement agencies looking to understand and mitigate accident risks.
No commits in the last 6 months.
Use this if you need to quickly assess and categorize potential road accident severity based on a range of incident characteristics.
Not ideal if you need to predict precise financial costs of accidents or require real-time accident detection from video feeds.
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20
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 10, 2024
Commits (30d)
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