mikemwai/signsense

A Machine Learning model for sign language recognition of the Kenyan Sign Language. # ✋ Signsense > This is a machine learning model designed for the recognition of Kenyan Sign Language. This project aims to bridge the communication gap by providing an efficient and accessible tool for understanding and interpreting the Kenyan Sign Language. ## 📂 Project Structure ``` signsense/ ├── Dataset/ │ ├── Dataset/ │ ├── Dataset.md │ └── Dataset_Visual.png ├── Logs/ ├── database/ │ ├── DATABASE.md │ ├── config.py │ ├── create_db.py │ └── models.py ├── model/ │ ├── Model.h5 │ ├── Model.md │ ├── comparative_analysis_output.png │ ├── confusionmatrix_output.png │ ├── metrics.png │ └── signsense_mediapipe_lstm.ipynb ├── routes/ │ └── routes.py ├── static/ │ ├── css/ │ ├── images/ │ ├── js/ │ └── logo.png ├── templates/ │ ├── layouts/ │ └── pages/ ├── utilities/ │ ├── extensions.py │ └── utils.py ├── .gitignore ├── LICENSE.txt ├── app.py └── requirements.txt ``` ## Table of Contents 1. Installation 2. Usage 3. Contributions 4. Issues 5. License 6. Database 7. Model 8. Dataset ## ⚙️ Installation 1. Clone the repository: ```sh git clone github.com ``` 3. Navigate to the project directory: ```sh cd signsense ``` 4. Navigate to the project directory and create a virtual environment on your local machine through the command line: ```sh python -m venv venv ``` 4. Install the required packages: ```sh pip install -r requirements.txt ``` - Picks up all the packages from the project and copies to the `requirements.txt` file: ```sh pip freeze >> requirements.txt ``` ## ▶️ Usage - Run the following command to start the application on your local machine: - On Windows: ```sh set FLASK_APP=app.py flask run --host=0.0.0.0 ``` - On Unix/Linux/Mac: ```sh export FLASK_APP=app.py flask run ``` - This will start a development server on 127.0.0.1 where you can access the application. ## 🤝 Contributions - If you'd like to contribute to this project: - Please fork the re …