video1.0<iframe src="https://www.loom.com/embed/88be8753583d4e66b9f5ecc422823036" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/88be8753583d4e66b9f5ecc422823036-ba458751b5d7ab42.gif220.954Hi, I'm David Bedoya, and in this video, I present my What To Wear Full Stack project, which helps users view weather-based clothing recommendations and manage their profiles. I built the back end using Node.js, Express, and MongoDB, and connected it to a React front end, implementing user authentication with JWT and request validation. I successfully deployed the application on a Google Cloud Virtual Machine and faced challenges with debugging, which I overcame using PM2 and AI assistance. In the future, I plan to enhance monitoring and automated testing, as well as polish the UI further. I encourage you to check out the deployed application and provide any feedback.