{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d0899c1105d94b83a26bd4d7c4174b75\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d0899c1105d94b83a26bd4d7c4174b75-1acd3bf1871b8a21.gif","duration":284.424,"title":"Building a Data Bridge: Insights from the Competition","description":"In this video, I share my journey over the last 72 hours in a competition where I aimed to create a data bridge for municipal snow events using Geotab's route completion data. I initially struggled with advanced tools but pivoted to AI Studio, which helped me build a fast and intuitive UI. My main challenge was developing a Google Apps script to securely connect and process telematics data for GIS integration. Although I faced obstacles with API handshakes and data retrieval, I gained valuable insights into the architecture of these systems. I'm submitting my progress as proof of concept, and I encourage viewers to consider the foundational work necessary before diving into more complex applications."}