🚔 Crime Rate Predictor – Python / Machine Learning Project

Empower public safety with data-driven foresight. This Crime Rate Predictor uses Python and a Random Forest Regression model to forecast crime rates across 19 major Indian cities. Ideal for developers exploring predictive analytics, smart cities, and real-world data science impact.

Key Features
• Predicts rates for 10 different crime categories (e.g., cybercrimes, crimes against women)
• Covers 19 Indian metropolitan cities with data spanning 2014 to 2021
GitHub
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• Built using Random Forest Regression for high accuracy (~93.2%)
GitHub
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• User-friendly interface: select city, crime type, and year—get immediate predictions

🔗 Explore the full project here:
Crime Rate Predictor – View Project

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