{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e4cdc5b60a3949c2bf5c32bf5caca297\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e4cdc5b60a3949c2bf5c32bf5caca297-d75606aa306ed98f.gif","duration":136.5675,"title":"AI-Driven Driving Theory Assistant","description":"In this video, I present our Hackathon project where we developed an AI personalized assistant to make learning driving theory more engaging. By using geospatial images from the user's city, we generate tailored questions that enhance interaction and relevance. Currently, we have implemented this for Paris, but it works well for other countries too. I would love your feedback on the concept and any suggestions for improvement."}