video1.0<iframe src="https://www.loom.com/embed/02b01081e01048ed983286a18598e8de" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/02b01081e01048ed983286a18598e8de-6a34ef6657eb19ca.gif145.088Every day millions of people get navigation optimized for speed, but those apps do not account for crime hotspots, broken lights, or traffic crashes. In this Loom, I built LoomingPath, a real time routing engine that optimizes for safety using live Chicago Open Data, including a 30 day crime report, active street data, light outages, and traffic crash data, running on a Python and FastAPI backend. It uses a custom multi criteria algorithm to show the safest route and the fastest route, then links out to Google Maps for walking the exact path. No specific action was requested from viewers.