{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/88be8753583d4e66b9f5ecc422823036\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/88be8753583d4e66b9f5ecc422823036-ba458751b5d7ab42.gif","duration":220.954,"title":"What To Wear: A Full Stack Weather Application Overview ☀️","description":"Hi, 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."}