React Native Review vs CARLA

This app was created to help Junior and Mid-Level developers test their knowledge of React Native basics and essential JavaScript to help them prepare for working in the industry. This is just the very first release and I look forward to adding more content and review methods to the app over time.

This app is the prototype of an AR learning application that is currently being developed in a research project. It provides an interactive and engaging learning experience that allows users to create and share single AR scenes and whole scenarios that can be accessed e.g., through a smartphone or tablet. The main technology behind CARLA is image-based scene recognition. It uses so called trigger images to initiate certain responses on the device being used. Currently these responses can include static images, videos, YouTube videos, short audio data, podcasts, and 3D objects. CARLA uses the concept of 'AR scenes' and 'AR scenarios' to distinguish between single AR experiences and a series of AR interactions that are logically or semantically connected. Packing scenes into scenarios enables educators to rapidly spread content to students by publishing a specific QR code generated by the app. CARLA enables teachers and students to easily create AR scenes, thus helping them to express their ideas and concepts of certain learning content: simply describe the content, take a picture for the trigger image (or select an existing one from the file browser), select a suitable AV media and automatically upload the data. The app generates a QR code to share the scene or scenario with others worldwide. A demonstration with some scenes can be found at the support URL. Just start the app, press the 'plus' sign and point the camera to a QR code on that page. After the contents have been downloaded, the image right next to the QR code triggers some audio-visual content. The app currently has several limitations, but will continuously be enhanced. Please be patient and provide some feedback via the support URL ...