Enki — Case Study | Ibrahem Qusay
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AI Education Platform

Enki

An Arabic-first AI education platform designed around the Iraqi sixth-grade curriculum.

RoleProduct design & full-stack build
TechnologiesRAG, Arabic NLP, React/Next.js

At a Glance

Status:Deployed
Category:AI Education Platform
Built by:Ibrahem Qusay
Technologies:React, FastAPI, PostgreSQL, Qdrant, RAG

Overview

Iraqi students preparing for ministerial exams rely heavily on rote memorization and disconnected study material. Enki grounds AI tutoring directly in the sixth-grade curriculum, using retrieval-augmented generation so answers stay attributed to real course content rather than generic web knowledge.

The platform is built to handle Arabic educational interaction naturally, including out-of-context questions it should safely decline.

Capabilities

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Frequently Asked Questions

What problem does Enki solve?

Enki grounds AI tutoring in the Iraqi sixth-grade curriculum using retrieval-augmented generation, so students preparing for ministerial exams get answers attributed to real course content instead of generic web knowledge.

What makes Enki different from a general chatbot?

It's curriculum-grounded and Arabic-first: responses stay tied to the actual sixth-grade syllabus, and the platform is built to safely decline out-of-context questions rather than improvise.

What technologies power Enki?

A React front end, a FastAPI backend, PostgreSQL, and retrieval-augmented generation (RAG) over a Qdrant vector index, tuned for Arabic educational interaction.