AI-powered academic planning for University of Michigan students. Upload your degree audit, set your career goals, and get a personalized course pathway with a built-in AI advisor.
1. Install dependencies
npm install2. Add your API key
Open .env.local and fill in your OpenRouter key:
OPENROUTER_API_KEY=sk-or-...
DEFAULT_MODEL=openai/gpt-4o-mini
To swap models later, just change DEFAULT_MODEL — no code changes needed. Any model on openrouter.ai/models works.
3. Run the dev server
npm run devOpen http://localhost:3000.
| Step | URL | What happens |
|---|---|---|
| 1 | / |
Landing page |
| 2 | /upload |
Upload your degree audit PDF (Wolverine Access → Student Records → Degree Audit → Save as PDF) |
| 3 | /profile |
Enter year, major, home school/program, career goal, AP/transfer credits |
| 4 | /dashboard |
Course recommendations + semester planner + AI advisor |
The app now uses a single curated source:
courses_master.db(Atlas-style schema from data mining pipeline)
Normalized API rows now also include:
source, atlas_url, prereq_hard_codes, prereq_advisory_text, top_degrees
app/
page.tsx # Landing
upload/page.tsx # Audit upload
profile/page.tsx # Profile builder
dashboard/page.tsx # Main 3-panel dashboard
api/
parse-audit/ # POST: PDF → course list
courses/ # GET: search + ranked recommendations
advise/ # POST: streaming chat (OpenRouter)
lib/
claude.ts # OpenRouter client + system prompt builder
store.ts # Zustand global state
audit-parser.ts # PDF → taken/remaining courses
course-ranker.ts # Scoring algorithm
db.ts # SQLite (better-sqlite3)
types.ts # Shared TypeScript interfaces
courses_master.db # Curated Atlas-style source used by app/runtime
schema.md # Human-readable schema reference for agent context
npm run build
npm start