XIBBIT: A biometric recognition tool for efficient Xenopus laevis identification and colony management - Source Code

Full stack web application for frog recognition using ML models. The application is composed of 3 parts: Frontend, Backend and Database. All of those are easily runnable using Docker with the respective "docker-compose.yaml" file. 

The main functionality of the application is to store and manage data about the frogs in the colony, and with the use of the ML model integrated, easily recognize the frogs using images. The application offers the possiblity of multiple organizations using it, each with their own set of frogs, tanks, system parameters etc. Organization resources are also protected by giving each user a set of permissions of allowed actions in each organization.