alanplotko/Cryme
A web application built with Flask that uses machine learning to analyze crime history in Washington D.C. and makes predictions.
This tool helps residents and visitors to Washington D.C. assess potential danger at specific locations and times. By inputting a location within D.C. and a time of day, you receive a prediction about the likelihood of crime. It's designed for anyone navigating D.C. who wants to make informed decisions about their safety.
No commits in the last 6 months.
Use this if you are a D.C. resident or visitor wanting to quickly check the historical crime risk for a specific area and time before traveling or planning activities.
Not ideal if you need highly precise, real-time crime data or insights for law enforcement, as its predictions are based on historical data with known limitations.
Stars
7
Forks
5
Language
JavaScript
License
MIT
Category
Last pushed
Jun 06, 2015
Commits (30d)
0
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