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iampenuel/README.md

☀️ hey, i'm penuel.

i study artificial intelligence @ penn state harrisburg.

i build with medical data, multimodal models, and full-stack AI systems. the part that keeps me interested is what happens after the prototype works: where does it fail, and can we trust it when it matters?

that question is shaping a lot of what i’m working on now in healthcare AI, evaluation, and reliability.

what i'm up to :)

  • building healthcare AI projects from model to product
  • researching AI evaluation & reliability, starting with radiology
  • experimenting with multimodal AI, RAG, agents, and full-stack systems
  • getting much better at Python, DSA, and the engineering underneath the AI
  • occasionally disappearing into a repo because one idea turned into five

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  1. penuel-portfolio penuel-portfolio Public

    Penuel Stanley-Zebulon's interactive macOS-inspired portfolio for human-centered AI, healthcare AI, and product engineering.

    TypeScript

  2. sema sema Public

    Sema is a page-aware healthcare AI co-pilot that turns patient-provided observations into a reviewable clinician-ready evidence packet.

    TypeScript

  3. pediatric-seizure-cnn pediatric-seizure-cnn Public

    Pediatric EEG seizure detection ML model with a 1D CNN and Streamlit demo app

    Python 1

  4. alethia-live alethia-live Public

    Real-time healthcare navigation and health literacy agent using Gemini Live and Cloud Run.

    TypeScript

  5. mamathemba mamathemba Public

    Clinician-facing maternal emergency referral-readiness and handoff copilot for rural and resource-constrained clinics.

    Python

  6. neonatal-brain-age-classifier neonatal-brain-age-classifier Public

    Neonatal brain MRI developmental age classification (0–12 months) with EfficientNet-B0 transfer learning and Grad-CAM explainability

    Python