{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bf221aa72fd34954914330847753d244\" frameborder=\"0\" width=\"1668\" height=\"1251\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1251,"width":1668,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1251,"thumbnail_width":1668,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bf221aa72fd34954914330847753d244-54822b257425dcfd.gif","duration":279.723,"title":"Weather-Based Clothing Recommendation App Overview 🌦️","description":"In this video, I introduce my project from Print 11, where I built a website that recommends clothing based on current weather conditions using API functionality, JavaScript, HTML, and CSS. The site features a toggle for Celsius and Fahrenheit, displays the current location and temperature, and allows users to add personalized clothing items. I learned how to set up a mock server and create multiple components for the app, which was a new challenge for me. One improvement I would suggest is to add constraints on image sizes when users upload their clothing items. I encourage you to check out the website and provide any feedback!"}