"Implement Eye Disease Classified RNN "

[praveenarjun]

Problem Description

The goal is to develop a robust model for classifying various eye diseases using Recurrent Neural Networks (RNN). Early and accurate detection of eye diseases is crucial for effective treatment and management. This model will assist healthcare professionals by providing reliable predictions based on medical imaging or patient data, thereby improving diagnostic accuracy and patient outcomes. Model Description

The proposed model for eye disease classification will utilize Recurrent Neural Networks (RNN) due to their ability to handle sequential data, which is common in medical time-series data. The model will be trained on a dataset of eye disease cases, leveraging techniques such as data augmentation, feature extraction, and sequence modeling to improve its accuracy. The use of RNNs is appropriate because they can capture temporal dependencies and patterns in the data, which are essential for accurate disease classification.

Estimated Time for Completion: 2 days

Expected Outcome The implementation of the eye disease classification model will enhance the web application’s predictive capabilities. Specifically, it will enable healthcare professionals to input patient data and receive accurate classifications of various eye diseases. This addition will expand the application’s use cases to include medical diagnostics, achieving high precision and recall metrics to ensure reliable performance in identifying eye diseases and reducing diagnostic errors.

[praveenarjun]

This will help you to predict eye disease

[praveenarjun]

if you like my idea pls give me labels so that it will be helpful

[yashasvini121]

Sure, go ahead @praveenarjun. Ensure that your new code aligns with the current project structure. Are you a contributor under gssoc extended?

[praveenarjun]

yes I am a contributor under gssoc extended

[yashasvini121]

@praveenarjun, updates?