DIAGNOSIS OF DIABETIC RETINOPATHY USING MULTI MODEL APPROACH

• Tech Stack:Python, Gradio, Numpy, Pandas CNN and SVM algorithms
• Github URL: Project Link

Developed an advanced retinal image classification system combining feature extraction, classification, and ensemble learning, with a Gradio interface for real-time diagnostics.

Designed for early detection and accurate diagnosis of diabetic retinopathy, helping to prevent vision loss.

Social Impact: Facilitates early intervention, improving patient outcomes and reducing blindness risk.