# OmniScan AR: Turning the Real World into an Interactive AI Learning Experience 🌍📱

OmniScan AR is an AI-powered camera-first application designed to turn the real world into an interactive learning experience. Instead of searching the internet for information, users can simply point their camera at everyday objects to start exploring and learning. This innovative app encourages users to disconnect from their screens and engage with their environment in a more meaningful way.

OmniScan AR encourages users to learn about environmental impact, sustainability, and the lifecycle of the objects they encounter. By visualizing how materials degrade and understanding the consequences of waste, users can make more informed choices about their consumption habits. The app uses artificial intelligence to provide a more immersive and interactive learning experience, making it accessible to students, curious explorers, educators, and anyone interested in understanding the world around them.

The application is built on a modular AI architecture, using technologies such as React Native, Expo, TypeScript, FastAPI, and Python. A MobileNetV3-Small material classification model, fine-tuned using the TrashNet dataset, provides the foundation for object detection and classification. The backend separates various AI components, such as visual analysis, knowledge generation, and image generation, into independent services, allowing for easy customization and improvement.

By offering open-source access to its code, backend services, research artifacts, and material classification model, OmniScan AR empowers independent developers and students to contribute to and build upon the project. This open innovation approach enables a wider range of developers to create and improve the application, making it a valuable resource for anyone interested in learning about the world around them in a more interactive and environmentally conscious manner.