Alki45/Amharic-sign-Language-Transcription

Data Visualization Exercise # Amharic Sign Language Transcription This project aims to transcribe Amharic Sign Language into text/speech using machine learning and computer vision. ## Project Structure ```text . ├── data/ │ ├── external/ # Data from third party sources. │ ├── processed/ # The final, canonical data sets for modeling. │ └── raw/ # The original, immutable data dump. ├── docs/ # Project documentation. ├── models/ # Trained and serialized models, model predictions, or model summaries. ├── notebooks/ # Jupyter notebooks. ├── src/ # Source code for use in this project. ├── tests/ # Unit and integration tests. ├── .gitignore # Standard Python .gitignore. ├── README.md # The top-level README for developers using this project. └── requirements.txt # The requirements file for reproducing the analysis environment. ``` ## Getting Started 1. Clone the repository. 2. Install dependencies: ```bash pip install -r requirements.txt ``` 3. Run the Jupyter notebooks in `notebooks/` to explore the data or train models. ## Dependencies - mediapipe - opencv-python - psutil - jupyter - notebook