{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/70a15a3d972a4bcf81a5558cf6b6f309\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/70a15a3d972a4bcf81a5558cf6b6f309-2a5b4860a40c0dca.gif","duration":273.238,"title":" DonaldGruda-ProjectPitch-WTWRReact","description":"In 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!"}