Add Eye disease classification

Issue #360

Description

The Eye Disease Classification project leverages the power of Convolutional Neural Networks (CNN) alongside pre-trained models VGG16 and ResNet-50 to automate the detection of various eye diseases from retinal images. This initiative aims to enhance the accuracy and efficiency of early disease diagnosis, potentially preventing severe vision impairment or blindness. By collecting and preprocessing a comprehensive dataset of labeled retinal images, we implement and fine-tune these models to achieve optimal performance. The project includes detailed training and evaluation processes. Utilizing Python, TensorFlow, Keras, and other scientific computing libraries, the project offers a robust foundation for further research in medical imaging. The expected outcome is to not only provide a reliable eye disease classification system but also contribute to the field by demonstrating the strengths and limitations of different deep learning approaches, ultimately aiding in the early diagnosis and treatment of eye diseases. This work, part of the GirlScript Summer of Code 2024 program, underscores the potential of deep learning in advancing healthcare technologies.

Fixes # (issue)

Type of change

[x] Added a new machine learning frameworks, libraries or software.
[x] Documentation update

Checklist:

[x] My code follows the style guidelines of this project
[x] I have performed a self-review of my own code
[x] I have commented my code, particularly in hard-to-understand areas
[x] I have made corresponding changes to the documentation
[x] My changes generate no new warnings

Recode-Hive / machine-learning-repos