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healthcare-ai

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Portfolio of capstone projects from AI & Technology, Data Science, AI Internship, Machine Learning and AI Humanities Honors. CNN pneumonia detection on chest X-rays (>90% accuracy), healthcare EDA, diabetes risk prediction and AI ethics research. Python, scikit-learn, TensorFlow/Keras.

  • Updated Sep 20, 2026
  • Jupyter Notebook

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

  • Updated Apr 8, 2024
  • PureBasic

Healthcare AI Model Evaluator (HAIME) empowers healthcare organizations to independently evaluate and customize AI solutions, addressing challenges of transparency, clinical relevance, and real-world impact. By putting control in the hands of clinical professionals, it enables confident, context-specific adoption of AI in healthcare.

  • Updated Aug 27, 2026
  • TypeScript

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

  • Updated Aug 5, 2026
  • Jupyter Notebook

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