{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/26866623e6284619b53000cf4f1804f8\" 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/26866623e6284619b53000cf4f1804f8-76bc23fb376066c9.gif","duration":240.816,"title":"Building a Powerful Local Educational Assistant with AI Tools 🚀","description":"In this video, I demonstrate how I built a powerful local educational assistant using the EdiGN library and Claude's model context prototype. The assistant features multiple AI tools, including MCQ generation, multimedia-based questions, and image description capabilities. I walk you through the setup process, including cloning the repository, setting up a virtual environment, and adding an API key. I also showcase how the assistant interacts with the MCP server to generate responses based on prompts. I encourage you to explore these features and consider integrating them into your own projects."}