Introduction
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**Kedgi** provides a user-friendly graphical interface enabling users to run `MERIDIAN <http://meridian.cs.dal.ca/>`_ acoustic detection and classification software locally on their own machines. **Kedgi** works on both Unix and Windows and no use of Command Line tools or Terminal is needed.

**Kedgi** is written in Python, and utilizes a handful of power software packages including `Flask <https://flask.palletsprojects.com/en/1.1.x/>`_, `Ketos <https://docs.meridian.cs.dal.ca/ketos/>`_, `Numpy <https://numpy.org/>`_ and others. It is licensed under the `GNU GPLv3 license <https://www.gnu.org/licenses/>`_ and hence freely available for anyone to use, modify and distribute. The project is hosted on GitLab at `https://gitlab.meridian.cs.dal.ca/public_projects/kedgi <https://gitlab.meridian.cs.dal.ca/public_projects/kedgi>`_. **Kedgi** was developed by the `MERIDIAN <http://meridian.cs.dal.ca/>`_ Data Analyst Team at `Institute for Big Data Analytics <https://bigdata.cs.dal.ca/>`_ at Dalhousie University.
The intended users of **Kedgi** are researchers and students in underwater acoustics who have limited knowledge working with CLI. The application is developed with step-by-step workflow so that users can easily follow.