BCA PROJECT · 2025–26
⚡ EfficientNetB0 · 6-Class · Grad-CAM

Retinal Disease
Detection System

Upload a retinal fundus image. The AI detects 5 eye diseases or confirms a healthy retina — with visual Grad-CAM explanation.

Upload Retinal Image

🔬

Drop image here or click to browse

PNG · JPG · JPEG supported

Preview

Grad-CAM · AI Focus Region

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Heatmap will appear here

Diagnosis Result

ANALYZING RETINA...

Upload an image and click Analyze

RETINA APPEARS HEALTHY

Detected Condition
0%

⚠ AI-assisted tool for educational purposes only. Always consult a qualified ophthalmologist.

Disease Probability Distribution

Probabilities will appear here

How It Works

1

Upload a retinal fundus photograph

2

EfficientNetB0 extracts deep visual features

3

Model classifies into disease or healthy (6 classes)

4

Grad-CAM shows which retinal region influenced the prediction

⚠️ St. Francis College, Koramangala, Bangalore · BCA Final Year Project 2025–26 · Shaun D · U18IW23S0166 · Supervisor: Prof. Gajanan Revankar · 6-Class Model · Dataset: ~1,500 retinal images