video1.0<iframe src="https://www.loom.com/embed/e224390511394ccba92d204606c114a5" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/e224390511394ccba92d204606c114a5-5576e4e310b05974.gif905.104Hi everyone, I'm Srikar, and in this video, I'm demonstrating the AI wash scheduling agent I built for my assignment. I decoupled the architecture into a voice layer using WAPI with DeepGram for transcription and GPT-4 for NLP, and a FastAPI back-end deployed on Render. Key features include slot-filling and rescheduling options, which I showcase in a demo where I book and then reschedule a meeting. You can find the full source code and more details on my GitHub repository. I appreciate your time and look forward to connecting with the team soon!