Built a Flask REST API for real-time predictions. • Designed an interactive web dashboard with charts and dynamic visualizations. • Implemented model serialization using Pickle for deployment. • Added time-based risk analysis logic for improved accuracy. • Applied full ML lifecycle: preprocessing → training → prediction → deployment.
Janeeshareddy/AI-Based-Crime-Detection-Risk-Analysis-System
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