colinislit db036a3d92 feat(swift): E2 Intent Classification voltooid
Epic 2 - Intent Classification (10 SP):
- E2.S1: Local classifier met regex patterns (<50ms)
- E2.S2: Entity extraction (patientName, category, content)
- E2.S3: AI fallback met Claude Haiku bij confidence <0.8
- E2.S4: POST /api/intent/classify API route

Two-tier systeem:
1. Lokale regex classificatie (snel, offline)
2. AI fallback voor lage confidence of complexe input

Bouwplan bijgewerkt naar v1.4 (31/68 SP, 46% done)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Colin Lit <colin@example.com>
2025-12-23 22:59:30 +01:00
2025-12-12 13:31:48 +01:00
2025-11-09 14:21:31 +01:00

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Description
Triqura intent ecd
Readme 37 MiB
Languages
TypeScript 96%
PLpgSQL 3%
CSS 0.6%
JavaScript 0.3%
Shell 0.1%