Kedgi provides a user-friendly graphical interface enabling users to run MERIDIAN 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, Ketos, Numpy and others. It is licensed under the GNU GPLv3 license 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. Kedgi was developed by the MERIDIAN Data Analyst Team at Institute for Big Data Analytics 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.