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AdaptED helps teachers turn one assignment into accessible versions for students with dyslexia, ADHD, auditory processing differences, and autism — keeping the learning goals intact and showing exactl
EducationJavaScript · TypeScriptGitHub @yasho1225OnlineOwner unconfirmed
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AdaptED helps teachers turn one assignment into accessible versions for students with dyslexia, ADHD, auditory processing differences, and autism — keeping the learning goals intact and showing exactly what changed and why.
Taken from the repository README
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Read the full README ↗One lesson. Every learner.
AdaptED helps teachers turn an assignment they already have into a version a specific student can access — for dyslexia, ADHD, auditory processing differences (APD), and autism — without lowering what the student is expected to learn. It shows the original and the adapted version side by side, highlights the barriers it found, and explains every change with the research behind it.
Built for the 2026 Congressional App Challenge.
If no AI key is configured or the AI fails, an offline rule engine builds a structured version from the selected supports. It is always labelled as such.
npm install
cp .env.example .env.local # add GEMINI_API_KEY (https://aistudio.google.com/apikey)
npm run dev
Without a key, the three samples show pre-made example outputs (labelled "Pre-made example · not made just now"), and everything else uses the offline engine.
| Variable | Purpose |
|---|---|
GEMINI_API_KEY | Server-only Gemini key. Optional; enables live AI. |
GEMINI_MODEL | Optional model override (default gemini-2.5-flash, falls back to gemini-flash-latest if retired). |
npm test # 60 unit tests: analysis, offline engine, curated outputs, mocked AI pipeline, creation, languages
npm run eval:ai # live AI evaluation (needs GEMINI_API_KEY): 3 samples × 6 profiles
npm run lint
npm run build
npm run a11y # axe-core WCAG 2.2 AA audit (needs `npm start` on :3100)
npm run audit:ui -- <outDir> # 4 breakpoints: overflow, tap targets, text size, headings, axe, console errors
npm run e2e:studio -- false # 18 studio checks with motion on (pass `true` for calm mode), incl. create + language
npm run e2e:samples # the 3 samples without AI: 12 pre-made versions with no server call, then 21 checks of the no-AI path
Measured on a local production build (Lighthouse 12.8, October 2026): mobile (simulated slow 4G, 4× slower CPU) Performance 89–90, Accessibility 100, Best Practices 100, SEO 100; desktop 100 in all four.
The tests enforce, for every curated and offline output: all questions preserved, answer choices kept, barrier quotes verbatim from the original, citations that resolve, no leaked answers, and structural distinctness between needs.
src/lib/adapt/
analyze.ts question inventory, Barrier Lens, readability metrics, syllables
profile.ts needs, the 21 supports (with model instructions), profile sanitizing
research.ts evidence registry — every change cites one of these
prompt.ts system prompt (rules + research playbooks) and user prompt
schema.ts zod validator + Gemini response JSON schema
fidelity.ts question/choice/vocabulary checks, corrective feedback, restoration
gemini.ts @google/genai client with retry and model fallback (server-only)
service.ts pipeline: redact → generate → validate → fidelity → fallback
offline-engine.ts rule-based fallback driven by the selected supports
samples.ts, curated/ three samples and their pre-built reference outputs
create.ts, create-server.ts "create an assignment": request checks, model prompt, starter outline
src/app/api/adapt/ POST endpoint (input limits, rate limiting)
src/app/api/create/ POST endpoint for new assignments (same rate limiting)
src/components/ studio (the tool), doc renderers, site sections, calm mode
docs/ PRD and research basis
No accounts, no database, no analytics. Uploaded files are read in the browser. Before text is sent to the AI, emails, phone numbers, ID-like numbers, and Name: fields are removed. The learner profile never asks for names or medical details.
Designed to WCAG 2.2 AA and audited with axe-core (0 violations at 1440, 1024, 768, and 390px). Keyboard operable, visible focus, semantic structure, text alternatives for icon cues, 44px touch targets, no text under 12px. Calm mode (and the OS reduced-motion setting) turns off smooth scrolling and all decorative motion, and swaps animated pictures for still ones. Body type is Atkinson Hyperlegible Next; headlines use Bricolage Grotesque. Design decisions are in DESIGN.md; the latest UI audit, and the before/after measurements of the redesign it led to, are in docs/UI-AUDIT.md.
npm run eval:ai.Team: add your names and describe your own contributions here before submitting.
AI coding assistants (including Anthropic's Claude) were used to help write and review code, draft the research summaries, and author the pre-built sample outputs, under the team's direction and review. At runtime, the app uses Google's Gemini model to generate adaptations; those outputs are labelled as AI-generated in the interface.
See docs/PRD.md and docs/RESEARCH.md.
.claude/skills/ holds third-party "skills" (design and browser-testing guidance) that an AI coding assistant reads while working on this repository: taste-skill, Emil Kowalski's animation skills, Impeccable, Playwright CLI, and a library of reference DESIGN.md files. They are development aids only, they are not part of the website, and the build, lint and tests ignore them. Sources and licenses are in THIRD_PARTY_NOTICES.md.
Impeccable is installed as a plain skill. Its plugin hooks (which would download and run a program from the network on every edit) and its sub-agent definitions are deliberately not included. Delete .claude/skills/ to remove everything.
Full texts and the dependency list: THIRD_PARTY_NOTICES.md.