Urban safety intelligence platform with ML risk forecasting, live crime maps and an AI agent. Built with React, Spring Boot and Python.
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Updated
Jul 3, 2026 - JavaScript
Urban safety intelligence platform with ML risk forecasting, live crime maps and an AI agent. Built with React, Spring Boot and Python.
AI-powered navigation that prioritizes safety over speed. Google Luma computes a dynamic Safety Score using satellite data, crime density, POIs, weather, and real-time CV, delivering context-aware routes that avoid unsafe zones while maintaining practical travel times.
Cyclist safety risk assessment application for Austin using Random Forest classification with SMOTE for class balancing. Interactive Streamlit web app predicts cycling incident severity based on time, location, and environmental conditions to promote safer cycling practices.
Privacy-preserving pedestrian crossing safety analytics (computer vision, aggregate-only, GDPR/AI-Act by design). Anonymous road-safety dashboard demonstrator - Poland.
Gamified safety education platform for urban residents. Uses Toronto Police crime data and Street View to provide interactive neighborhood risk assessment. Helps users learn street smarts through competitive gameplay by turning safety education into data-driven gaming.
AnjeonDong — Dongjak multisensory safety & lenticular fence design (portfolio). Not a deployed product.
2026年4月施行「自転車青切符」対応 — ながらスマホ・信号無視・傘差し運転をAIで自動検知 | YOLO + pose estimation + VLM verification
A smart urban navigation ecosystem combining Flutter and Flask to provide AI-driven safe routing and real-time emergency response protocols in Chicago. (Patent Pending / Private Source)
A Physics-Informed Neural Network WBGT predictor for urban heat safety.
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