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Model Matrix
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Dashboard
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Heat Map
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Model configuration
Inspiration - Emotional hook with the "600M diabetics, 1 in 3 go blind" statistic and your vision of democratizing healthcare
What it does - Complete feature breakdown that showcases your work beyond just classification (heatmaps, PDF reports, dashboard, database)
How we built it - Deep technical dive with: a. Transfer learning explanation b. Mathematical formulas (weighted cross-entropy, normalization) c. Training configuration details d. Full tech stack e. Architecture breakdown
Challenges - 5 real technical problems you solved: a. Class imbalance → Weighted loss b. Overfitting → Augmentation + early stopping c. Explainability → Grad-CAM d. CPU inference speed → EfficientNet-B0 e. Integration complexity → Modular design
Accomplishments - Highlights your 78% accuracy, explainable AI, and production-ready system
What we learned - Shows growth in technical skills, domain knowledge, and teamwork
What's next - Ambitious roadmap from mobile apps to clinical validation studies
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