video1.0<iframe src="https://www.loom.com/embed/c54d6dc3a5af4431b809f08d86bce973" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/c54d6dc3a5af4431b809f08d86bce973-4e1b53260bf00ba8.gif287.723Hi, I'm Abdul Hadi Dishan, and this video is my submission for the Healthcare Symptom Checker Assignment for the Unithinkable Solution. I walk you through the project, which features a FastAPI backend, an LLM service, and a SQLite database, all structured in a clean three-layer architecture. I demonstrate how to use the application, including analyzing symptoms through our UI, which provides urgency levels and possible conditions based on user input. I also highlight that all queries are saved to the SQLite database for easy retrieval. Please remember that this tool is for educational purposes only and not for professional use.