v0.0.0

An Full-stack application built using React Library and Flask Framework. The ML model is developed using Transfer Learning approach with Fundus Dataset. Note that Flask is used only as an endpoint API for the client-side react application.

Dependencies

Here are the dependencies used by the React application:

• react-router
• bootstrap
• react-bootstrap

Here are the dependencies used by the Flask application:

• python=3.11.5
• numpy=1.23.5
• scikit-learn=1.3.0
• scikit-image=0.22.0
• tensorboard=2.12.1
• flask=2.2.5
• flask_cors=3.0.10

Here are the dependencies for training the ML model from scratch:

• python=3.10.8
• numpy=1.26.3
• pandas=2.1.4
• matplotlib=3.8.0
• scikit-learn=1.3.0
• scikit-image=0.22.0
• keras=2.11.0
• tensorflow=2.11.0
• jupyter_client=8.6.0
• jupyter_core=5.7.1

Full Changelog: https://github.com/iamwatchdogs/Glaucoma-Detection-using-Transfer-Learning/commits/v0.0.0