{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9fea234dcc8c48fea29c51d493c0ecb9\" frameborder=\"0\" width=\"1738\" height=\"1303\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1303,"width":1738,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1303,"thumbnail_width":1738,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9fea234dcc8c48fea29c51d493c0ecb9-3f0375d726f6e4b1.gif","duration":261.595,"title":"AI-Powered Data Anomaly Detection","description":"In this video, I share my recent exploration of using AI to identify patterns in data, specifically through a prototype I built over the last four days. I demonstrate a tool that analyzes office visit records and flags any anomalies, showcasing a dashboard with key metrics like 1,500 total visits. I also discuss the AI functionality powered by OpenAI and how it interacts with the data. I would love to hear your feedback or any ideas you have related to these concepts."}