Huseny/Amharic-Braille-Reader-Backend

A python ML model for transcribing Amharic Braille into Amharic Text # Amharic Braille Reader An Amharic Braille Reading AI system that converts Amharic Braille characters in images to text. ## Table of Contents - About - Features - Getting Started - Prerequisites - Installation - Usage - Contributing - License - Acknowledgments - References ## About Welcome to the Braille Recognition System repository! This system is designed for the detection and interpretation of Braille characters, specifically tailored for Amharic Braille. The project utilizes a Convolutional Neural Network (CNN) based on the RetinaNet architecture for Braille dot detection. The overall goal is to enhance accessibility for the visually impaired by converting Braille images into text. ## Features - **Amharic Braille Detection**: The system focuses on detecting Amharic Braille characters with an emphasis on accuracy and robustness. ## Getting Started Follow the instructions below to set up the project on your local machine. ### Prerequisites Make sure you have the following installed: - Python 3.6 or higher ### Installation 1. **Clone the repository:** ```bash git clone github.com ``` 2. **Navigate to the project directory:** ```bash cd Amharic-Braille-Reader-Backend ``` 3. **Install dependencies:** ```bash pip install -r requirements.txt ``` ## Usage To use the Amharic Braille Reader, follow these steps: 1. **Run the Backend:** ```bash python manage.py runserver 0.0.0.0:8000 ``` 2. **Clone the Frontend:** ```bash git clone Huseny/Amharic-Braille-Read… ``` 3. **Navigate to the project directory:** ```bash cd Amharic-Braille-Reader-Mobile ``` 4. **Install dependencies:** ```bash flutter pub get ``` 6. **Change the backend address to your backend:** go to braille_repository.dart and change the address to your backend address ```bash static const String _url = 'your_backend_address'; ``` 5. **Run the Frontend:** ```bash flutter run ``` 6. **Select an Image:** Selec …