{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bb90e1367cd747a5b92abc6a9086113c\" 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/bb90e1367cd747a5b92abc6a9086113c-0e0c6b022ce29eac.gif","duration":106.888,"title":"Optimizing EV Charging Stations in Austin 🚗","description":"In this video, I introduced Charge Pilot, a tool we've developed to analyze the EV station landscape in Austin, Texas. We identified which stations are underserved and overbuilt, and used a neural network to recommend optimal locations for new stations based on traffic data and population maps. Our model provides an efficiency score from 0 to 100, helping retailers and EV suppliers optimize their resources and serve communities better. I encourage you to explore our findings and consider how they can impact your business decisions in the EV market."}