Imagine a map that thinks before you walk! Our app uses ML-powered A* pathfinding to guide you on the safest walking route possible—not just the fastest. Each intersection is weighted by real-time + historical crime data, severity, and recency, ensuring you avoid risky areas. Live alerts dynamically re-route you as new data comes in—because safety isn’t static!

The app contains a map with ML weighted nodes at each walkable intersection. The ML model weights the node based on recent crime data, severance of crime, date of crime...etc. Users can select/search for a destination in the app. The implemented A* algorithm will run when user clicks "find safe path" button. The route will adjust according to real time alerts! which re-weights the surrounding nodes and forces a reroute calculation!

React Native, JavaScript, Machine Learning, Express.js

https://github.com/naronchen/safeGlow0

https://drive.google.com/file/d/1vSDxA0xwRp5sr3qpwHQ7cOybk1vjG2GV/view?usp=sharing