A selection of AI and ML systems I’ve built—focused on performance, reliability, and production deployment.
A professional Arabic-first search system combining ChromaDB (178k documents) and Hadith_db (34k hadiths) with semantic embeddings (multilingual-e5-small) and AI-powered responses (gpt-oss:120B).
An enterprise-grade healthcare monitoring platform featuring real-time patient tracking, AI-driven insights, and automated report generation.
An intelligent legal assistant chatbot providing information about Saudi laws, featuring fully offline voice capabilities for maximum privacy and speed.
An innovative system that transforms written stories and dialogues into visually appealing anime-style comics.
A specialized RAG-powered assistant designed to provide accurate, context-aware information for caregivers, specifically for Alzheimer's care.
An interactive macOS-inspired portfolio built with React 18, recreating a realistic desktop environment to showcase various AI/ML projects.
An intelligent interview simulation system that analyzes resumes and conducts personalized technical interviews.
A medical AI system for detection and classification of retinal diseases (cataracts, glaucoma) to provide accessible diagnostic assistance.
An AI-powered web application dedicated to mental health prediction and supportive guidance based on user survey data.
A modular chat application allowing users to interact with custom AI personas enriched by document-based knowledge.
An AI diagnostic tool analyzing chest X-ray images to detect pneumonia using deep learning and LSTM network feature sequencing.
A reinforcement learning project where an AI agent masters Flappy Bird through Deep Q-Learning (DQN) in a PyGame environment.
An end-to-end machine learning application designed to predict customer churn for telecommunications companies using advanced classification models.
