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Education

Mutqin

Automated grading for Arabic essay answers

  • Transformers
  • Arabic NLP
  • Next.js
  • PostgreSQL
Status
Launched product
Year
2,025
votes
328

The problem it solves

Grading essay answers consumes hours of a teacher's week, and assessment stays inconsistent between teachers — and between the top and bottom of the same pile.

The solution

An Arabic language model tuned to defined rubrics suggests a grade with a written justification per criterion, while the teacher keeps the final decision. The system learns from the teacher's corrections and converges on their style.

Impact

In use at three private schools, cutting grading time by close to 60% according to the schools' own measurements.

Awards & recognition

Education Innovation Award

The team

Noura Albishi

NLP Engineer

A former teacher building tools that lighten teachers' load without taking the assessment decision away from them.

  • Transformers
  • Arabic NLP
  • PostgreSQL
  • Next.js
Graduation year 2,025LinkedIn

Saad Alqahtani

Generative AI Team Lead

A former frontend developer, now specialising in Arabic retrieval-augmented systems with a strict focus on citation accuracy.

  • RAG
  • LLM
  • Next.js
  • Vector DB
Graduation year 2,026LinkedIn

They were exactly where you are… look where they are now.

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