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I build Flutter apps, full-stack web apps and machine learning models. I study B.E. Information Technology at PCCOE Pune and graduate in 2027. What I work on
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| Languages |
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| Mobile |
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| Machine learning and data |
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| Backend and databases |
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| Web |
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| Tools |
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A web app classifies lung CT scans as normal, benign or malignant. It uses a ResNet-50 model.
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A U-Net model marks corrosion pixels in bridge photos. It trains on 800 labelled images.
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A mobile app splits group expenses and predicts loan approval.
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A donation platform stamps each donation with a SHA-256 audit hash. Gemini writes the impact stories.
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A console app issues books and saves records with serialization.
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Figures: Hairline by Lucas Marques (MIT)
