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Train medical AI across hospitals without sharing patient data using federated learning, explainable AI, and real-time simulation for chest X-ray pneumonia detection.
A decentralized federated learning simulation system for training pneumonia detection models across multiple hospitals without sharing raw medical data.
Interactive visual compiler that teaches how source code is transformed into tokens, AST, IR, and machine code through step-by-step pipeline visualization.
Transfer learning–based chest X-ray classification system using pre-trained CNNs to detect pneumonia vs normal cases, with an end-to-end pipeline including training, FastAPI inference service.
A lightweight memory consistency layer for LLM-based NPCs that detects and resolves contradictions while reducing LLM costs by up to 80%
Improving Students monitoring in online classes and educational platforms
