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KAFL | NEXUS

Sınav analitiği ve AI destekli kurumsal öğrenci rehberlik platformu

Next.jsTypeScriptPostgreSQLDrizzle ORMAIPDF IngestionZod
Exam papers becoming a measured graphite and limestone data landscape
System
KAFL | NEXUS
Documentation
Architecture and tradeoffs

KAFL | NEXUS turns trial-exam results into clear guidance for students, classrooms, and school leadership. It ingests result documents, validates and stores structured records, reveals performance trends, and produces AI-assisted reports through operational workflows designed for daily institutional use.

System components

  • Next.js App Router
  • TypeScript
  • PostgreSQL
  • Drizzle ORM
  • Zod Validation
  • PDF Ingestion
  • AI Provider Layer

Data under tension

Exam documents -> Structured extraction -> Validation -> Database -> AI analysis -> Student guidance

Tradeoffs

  • Keeping extraction reliable across document formats
  • Protecting student data and provider credentials
  • Making AI guidance specific, useful, and auditable