The data layer for smarter educational AI. Integrate trusted instructional content and research directly into your AI-powered tools — improving precision, relevance, and instructional alignment.

Evaluation for AI outputs against trusted educational rubrics. Measure and improve content quality with research-backed rubrics — ensuring rigor, reliability, and alignment to classroom needs.

🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.

an open-source macOS app that reproduces realistic human typing to expose the limits of AI-detection based on writing process

An interpretable early-warning engine that detects academic instability before grades collapse. Instead of predicting performance, it models pressure accumulation, buffer strength, and transition risk using attendance, engagement, and study load to explain fragility and identify high-leverage interventions.

MCQ_Grading_Bot is an AI-powered tool that grades solved MCQ exam sheets from images using Gemini Vision. It extracts student info, checks answers, calculates score, and displays detailed results—all through a simple Gradio interface in Colab.

Student Exam Generator and Analyzer (S.E.S.) is an open-source project that helps schools generate, manage, and analyze exams efficiently. Each school runs its own secure, localized instance to ensure data privacy.

An open-source pedagogical assistant that uses generative AI to help educators create a more dynamic, inclusive, and personalized learning environment. The application goes beyond simple gamification; it's a tool to understand, support, and empower each student individually and collectively.

A YOLOv8-based project that detects classroom dispersion and engagement by identifying distracted individuals through human face and person detection.

Pilot application within the PedagoReLearn framework, implementing Reflexive Reciprocity Theory (RRT) through a reinforcement learning–enhanced micro-tutoring system for German vocabulary acquisition (CEFR A1). Learner interaction data feeds upstream to the parent PedagoReLearn repository for instructional policy analysis.

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An edtech project exploring how prompt engineering can support language teachers in lesson planning, material creation, and CEFR-aligned adaptation.

Item Response Theory (IRT) — the framework behind adaptive tests like GRE and PTE. Designed for AI engineers and data scientists to grasp core IRT concepts for adaptive testing systems.

🔍 Enhance your academic writing with precise AI reviews that identify flaws, improve clarity, and uphold rigorous research standards.

Context-rich lesson intelligence for Kenyan classrooms

Academic report on Artificial Intelligence in Education, exploring theoretical foundations, key AI technologies, and their impact on personalized learning and educational processes (E-Learning, UNIWA).

An education platform that auto-generates assessments from textbook chapters, tracks student mastery and more!

Profiling Student’s Essay Writing Proficiency Using Comment-based Representation Learning

Educational Streamlit apps powered by Large Language Models to support teaching, learning, and formative assessment.

Project-based DP-100 study toolkit with reproducible Azure ML workflows, Thai-English datasets, and deployment-ready mini projects for classroom and professional development use.

Local AI Tutor web application using Ollama LLM for personalized educational assistance, fully containerized with Docker (E-Learning, UNIWA).

Student Retention Intelligence System

Vivalyse evaluates confidence and clarity in viva speech using MFCC/LPC audio features and BERT embeddings. Built a multimodal ML pipeline with audio preprocessing, feature extraction, ensemble models (RF, MLP, KNN), and SHAP explainability for interpretable speech evaluation.

🧠 Enhance German vocabulary learning with Wortschatzspiel, a micro-tutoring system designed for CEFR A1 levels within the PedagoReLearn framework.

Structured, dynamic, and personalized education design platform built at Esprit School of Engineering. This academic project was developed as part of the AI for Education coursework at Esprit to meet the curriculum enhancement needs of the Pedagogical Innovation Department.

📊 Detect academic fragility early with this analytics engine that identifies instability before grades reveal the problem.

🧠 Explore Item Response Theory (IRT) to enhance AI-based adaptive testing with accurate measurements and improved assessment techniques.

Assists educators in grading programming assignments by generating consistent, detailed AI-powered feedback against your rubrics. You review and finalize grades—saving hours while maintaining quality and providing students with comprehensive evaluation.

Ordinal regression and mediation analysis examining the gap between AI adoption and advocacy among K-12 educators. Part 3 of a three-paper series using JASP and Python. N=189 teachers in Jordan.

📚 Elevate your reading with the Deep Reading Analyst skill, using 10+ frameworks for systematic analysis and deeper comprehension.