{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a0a61500748547a79b4e02466ed7d9f9\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a0a61500748547a79b4e02466ed7d9f9-0776518a5a04d400.gif","duration":380.1821,"title":"Project Llama Launch 🚀","description":"Hi everyone, I'm Mohammed, a Computer Science student at Delphi, presenting my project for the hackathon, Llama Launch. I address the blank page paradox faced when using advanced models like Llama 3.1 7TB, aiming to streamline the path from idea to execution. The solution involves refining ideas into product requirements, suggesting tech stacks, and providing personalized learning resources. A demo showcases how the app automates project documentation, architecture visualization, and tech stack recommendations, ultimately reducing planning time and enhancing execution efficiency."}