fif911/probabilistic_conflict_modelling
ML project that predicts wars with 95% classification accuracy
This project helps international organizations and policymakers forecast potential outbreaks of violence. By analyzing historical conflict data, socio-economic indicators, and political datasets, it predicts the likely distribution of conflict-related fatalities for specific countries up to 14 months ahead. This tool is designed for analysts, researchers, and decision-makers focused on early warning systems for global security and humanitarian aid.
No commits in the last 6 months.
Use this if you need to anticipate future conflict hot spots and their severity to inform policy, resource allocation, or humanitarian intervention strategies.
Not ideal if you need real-time monitoring of ongoing conflicts or detailed tactical intelligence for immediate response.
Stars
7
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Language
Jupyter Notebook
License
MPL-2.0
Category
Last pushed
Oct 27, 2024
Commits (30d)
0
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