{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d41200b45128489193e3bc342a1cf77e\" frameborder=\"0\" width=\"1110\" height=\"832\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":832,"width":1110,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":832,"thumbnail_width":1110,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d41200b45128489193e3bc342a1cf77e-0e33f9211f3d24ba.gif","duration":286.643,"title":"Developing an AI-Powered Speech Coaching Application","description":"In this video, I walk through my midterm demo for the AI Maker Space, where I'm developing a speech coach application aimed at helping users practice public speaking. Currently, we have a basic chatbot that utilizes a knowledge base and can answer specific questions, but we plan to enhance it with tailored feedback and progress tracking in the future. The architecture involves using Next.js for the front-end and Fast API for the back-end, with a single agent connected to multiple tools for information retrieval. I encourage viewers to think about how this application can evolve and to provide any feedback or ideas they might have as we move towards incorporating more advanced features."}