Anatomy Learning Platform
▶ Browse the live demo · Source on GitHub
A full-stack web application for learning human anatomy, movement, and personal-training fundamentals — built around the idea that a learner should be told why, and be able to check the source for every claim.
What it covers
All 16 body regions at full depth — 51 muscles, 23 joints, 40 movements, 49 exercises, 38 lessons, and 99 quiz questions. Each muscle page gives its origin, insertion, actions, innervation, plane of movement, what it does in daily life versus in the gym, and the muscles it is commonly confused with. Exercises are never reduced to a single muscle: each one lists its primary, secondary, and stabilising movers.
Design decisions worth noting
Citations are first-class. Sources are a modelled entity, not a footnote. Any claim can be attached to a source through a polymorphic citation table, and sources carry a reliability tier and a last-checked date, so the interface can show how well supported a statement is rather than presenting everything with equal confidence. Where authoritative sources disagree, the disagreement is displayed instead of quietly resolved.
Quiz grading is server-side. Correct options are never sent to the browser. Answers are graded against the stored options, and each result feeds a spaced-repetition schedule so missed questions resurface sooner.
Safety is explicit. The content is labelled by review status and is clear about a trainer’s scope of practice and when to refer a learner to a healthcare professional. No proprietary certification questions are used.
Built with
Next.js 15 (App Router) · TypeScript · Tailwind CSS · Prisma · SQLite → PostgreSQL · Auth.js · Vitest. All anatomical diagrams are original SVGs released under CC0.
About the demo
The live link above is a static export hosted on GitHub Pages, so it is read-only: every lesson, muscle, exercise, and source is browsable, and the flashcards and exercise filters work in the browser. Accounts, saved progress, private notes, and the quiz engine need the server-rendered app, which runs locally in about two minutes — see the README.