{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c322926d4fff4ba684481389b3af9d2a\" 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/c322926d4fff4ba684481389b3af9d2a-f9679b1980286160.gif","duration":325.676,"title":"Delight_Kraus_ProjectPitch_SE_Project_React.","description":"In this video, I provide an overview of my ongoing project, SE Project React, which focuses on building a weather application designed to help users choose appropriate clothing based on current weather conditions. The app features real-time data from the OpenWeather API, allowing users to toggle between Fahrenheit and Celsius, and filter clothing items based on temperature ranges. I've faced challenges, such as formatting issues and visibility of buttons, and I've utilized AI for debugging and learning. I believe the app has great potential, especially for users with intellectual challenges, and I plan to add more features like profile editing and additional weather conditions. I welcome any feedback and suggestions to enhance the app's functionality."}