video1.0<iframe src="https://www.loom.com/embed/70a15a3d972a4bcf81a5558cf6b6f309" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/70a15a3d972a4bcf81a5558cf6b6f309-2a5b4860a40c0dca.gif273.238In this video, I walk you through my Sprint 11 project called WTWR (What to Wear), which suggests clothing based on the current weather in San Francisco. The app fetches real-time weather data and filters clothing items accordingly, using React context for state management and a custom hook for form handling. I also discuss the importance of user experience, particularly with the delete confirmation feature. While the user info is currently hard-coded, my next steps include implementing real authentication and deploying the app. I appreciate your feedback and look forward to your thoughts!