AI-Powered Exam Generation & Automated Grading
Support agent
Knowledge agent
Client
AI-Powered Arabic/English MCQ Platform
Industry
Team
Lead AI & Full-Stack Engineer
Build
2025 – 2026
Sheet
C-02

01
Survey — The problem
Built an end-to-end educational assessment platform designed to eliminate the friction in exam creation and grading.
Technical Achievements
Bilingual LLM Fine-Tuning: Developed a specialized 1.7B Arabic/English LLM for MCQ generation, fine-tuning Qwen on 80,000 in-house Arabic/English question-answer examples using SFT, DPO, ORPO, and RLAIF.
Automated OMR Grading: Integrated an Optical Mark Recognition (OMR) pipeline using OpenCV to automatically scan and grade bubble sheets exported from the platform.
Full-Stack Architecture: Interactive exam editor, PDF text extraction, and administrative dashboard built with Next.js and Django REST Framework (DRF).
Accolades: Awarded 1st place among 25+ projects at the University Graduation Project Exhibition.
Calls / week
1,900
Missed at peak
1 in 5
People on it
6 receptionists
02
Blueprint — What we built
03
Result — Measured after 90 days
missed calls since go-live
bookings per week
patient satisfaction

Ines Vermeer
Practice Manager, Halcyon Clinics
