<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/948014cdd9c44ba68e7e3d91fd4601ca&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/948014cdd9c44ba68e7e3d91fd4601ca-1953506612b1a11e.gif</thumbnail_url><duration>522.195</duration><title>ELD Trip Planner — Full-Stack Assessment | Jerome Nazario</title><description>Ipinapakita ng Loom na ito kung paano ginagawang ganap at compliant na HOS plan ang ilang trip inputs sa pamamagitan ng website. Ipinunto ng creator ang ginamit niyang CADVA whiteboard at AI-generated doc para i-validate ang logic, pagkatapos ay ginamit ang agent cloud design para ma-execute ang visual design sa dashboard. Ipinakita rin ang ruta na nabubuo gamit ang Google Maps API (polyline) at ang travel time at miles per hour na naka-base sa historical data, kasama ang 55 miles per hour safety net fallback. Nabanggit din na naka-schedule ang pag-generate ng plan tuwing 10 minuto gamit ang cron, at may mga feature tulad ng remarks, daily ELD log sheets na puwedeng i-print o i-export sa PDF, at phone view na may zoom function. Ang backend ay Django at front-end ay React, deployed live sa Render at Vercel.</description></oembed>