A showcase of my projects.
AI systems, machine learning projects, and human-centered research work.
Computer vision and IoT system that automates attendance tracking through face recognition, improves parent-school communication via automated notifications, and features real-world hazard monitoring (fire detection). Tested in a school environment in Médéa, Algeria.
Led a team in developing Aegis Pulse, a human-centered AI research framework focused on emergency decision support during the critical first minutes before help arrives. Work included survey design and analysis (50 participants across 3 countries), UX journey mapping, system design, and Figma prototyping.
Deep learning model that predicts a Pokémon's primary type from battle statistics and physical attributes. Built with TensorFlow and trained on Kaggle dataset, with full preprocessing pipeline including feature scaling, label encoding, and model persistence for real-time predictions.