Iman-301/birr_recognition

ai-powered flutter application that recognizes Ethiopian Birr notes using a custom-trained machine learning model to assist visually impaired users. Birr Recognition A cross‑platform Flutter application for recognizing Ethiopian Birr currency notes using machine learning models. This project demonstrates mobile, desktop, and web support with a unified codebase. Features Currency Recognition: Detect and classify Ethiopian Birr notes using trained ML models. Cross‑Platform Support: Runs on Android, iOS, Web, Windows, macOS, and Linux. Flutter Integration: Built with Flutter for fast UI development and responsive layouts. Model Integration: Includes a dedicated model/ directory for ML assets. Testing: Basic unit tests included in the test/ directory. 🛠️ Tech Stack Language / Tool Usage Flutter (Dart) Core application framework Jupyter Notebook Model training and experimentation C++ / CMake Native bindings and performance optimization Swift iOS platform integration C Low‑level utilities