video1.0<iframe src="https://www.loom.com/embed/ef9fba9169fa40ad857f48f97426e4d9" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/ef9fba9169fa40ad857f48f97426e4d9-00001.gif123.96In this video, I present my data engineering individual project 4, which is an auto skating philosophy. The project is a sentiment analysis app that utilizes a pre-trained transformer model from Hugging Faces. I explain the backend code and provide a high-level screenshot of how the model works. I also discuss the steps required to deploy the app into Azure app services using a Docker container. Additionally, I mention the configuration of dependencies and the creation of the front end using HTML files. Unfortunately, I couldn't demonstrate the app's working due to credit limitations.