video1.0<iframe src="https://www.loom.com/embed/a46f2ef5f8eb4849847f4adf04a0f524" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/a46f2ef5f8eb4849847f4adf04a0f524-fcbfbbd656e07d4c.gif184.038Hey team, it's Filipe! In this video, I’m excited to share my 911 call operator project, which addresses the issue of understaffed call centers. The system can analyze transcripts or take live calls, categorizing emergencies and ranking their urgency. We achieved an 83% accuracy in predicting emergency types, and I’ll demonstrate the Twilio integration with a live medical emergency call. Please take a look and let me know your thoughts!