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I Built an ML-Powered War Prediction App with Python & Streamlit – Here’s How It Works

I’ve built and deployed WarPredictor.com — a machine learning-powered web app that predicts the likely winner in a hypothetical war between any two countries, based on historical and current military data.

Live Demo: WarPredictor.com

  • Predicts the likely winner between two selected countries using Logistic Regression and Random Forest.
  • Compares military, economic, and geopolitical indicators (like GDP, military budget, nuclear capability, alliances, etc.).
  • Visualizes historical events and border conflicts (e.g., Pulwama, Crimea, etc.).
  • Includes a news headline generator based on selected countries.

TechStack Used:

  • Frontend: Streamlit (Python)
  • Backend/ML Models: Logistic Regression, Random Forest
  • Deployment: AWS EC2

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