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crime-rate-prediction-project-using-python

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A robust Machine Learning–based system designed to predict crime rates across 38 districts of Bihar, leveraging a high-performance Random Forest model (~90% accuracy) and deployed via a Flask web application for real-time insights.

  • Updated May 19, 2026
  • Jupyter Notebook

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