YesWeCanQuiz is a Moodle plugin that enables unauthenticated visitors to take quizzes.

A computer vision project for detecting student concentration levels using image classification techniques. The concentration levels can be one amongst the following two: engaged and not engaged.

Teach sample-specific knowledge: Separated distillation based on samples, Engineering Applications of Artificial Intelligence 2025

Video based real life student engagement classification using knowledge transfer concept.

A comprehensive framework for detecting student engagement using per-frame features extracted by OpenFace (Action Units, head pose, gaze, blink metrics) and MediaPipe (facial point landmarks) with both classical ML (XGBoost, SVM, RF etc.) and deep-learning models (ResNet, EfficientNet, etc.).

🎓 A centralized event management platform designed to streamline campus communication 📢, allowing departments to publish events and students to discover & RSVP in real-time ✅.📅 Built with the MERN stack (MongoDB 🍃, Express, React ⚛️, Node.js) and TypeScript⚡.

MDai → your main AI education platform with chatbot MADO, courses, projects, and coding practice

Investigating Udacity student engagement and performance.

Real-time student engagement detection using facial analysis and deep learning.

Analyzed user engagement and feedback data to derive actionable insights for an online learning platform.

Gamifies student reflections in LMS with badge progression and quality validation system.

Gamified cafe loyalty platform for university communities with real-time multiplayer games, rewards, and check-in flows.

TrashToKash: An IoT-based plastic bottle deposit and reward system with user authentication. Users deposit bottles into a smart machine, earn points redeemable for cash, track rewards via a web app, and support proper waste management and recycling participation.

Plataforma web educacional gamificada para aprendizado de banco de dados, programada em HTML5, CSS3, JavaScript e React, com integração Firebase. Desenvolvida como projeto da disciplina de Trabalho de Conclusão de Curso (TCC) do curso de Ciência da Computação.

Recommender system suggesting engagement medium for students using behavioral data & ML.

Code and resources for the paper: Real-Time Student Engagement Monitoring on Edge Devices: Deep Learning Meets Efficiency and Privacy