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MedTwin Pro
Title: Deep Learning Enhanced Digital Twin for Advance Biopsy System (FYP)
Description:
A final-year thesis project that connects AI, robotics, and a real-time 3D interface into one working system.
What I built:
DenseNet121 skin-lesion classifier: 87.6% accuracy and 0.915 AUC on HAM10000
4-DOF robotic arm on Raspberry Pi 4 with PCA9685 and MG996R servos
Real-time digital twin in React and Three.js over WebSockets, about 47 ms latency
FastAPI backend tying the model, hardware, and interface together
Tools: Deep Learning, FastAPI, React, Three.js, WebSockets, Raspberry Pi
The network for creativity
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