video1.0<iframe src="https://www.loom.com/embed/fbef8efeb0074ca09bac96eb983dd4ac" frameborder="0" width="1664" height="1248" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12481664Loomhttps://www.loom.com12481664https://cdn.loom.com/sessions/thumbnails/fbef8efeb0074ca09bac96eb983dd4ac-373ce4d9b5bb9023.gif211.303In this video, I demonstrate a UI I built for my submission to the KiloWin 2025 challenge, showcasing its capabilities through a Python web demo. I have created 72 unit tests and eight evaluation scenarios to ensure the solution's reliability. During the demo, the AI agent classified a taxi service application as limited risk, with a confidence level of 90 and a risk score of 45, providing key recommendations for improvement. I encourage viewers to review the testing framework and evaluation outputs, as they are crucial for understanding the solution's effectiveness. Your feedback and insights would be greatly appreciated to enhance my submission.