IslamQ was envisioned as a first-of-its-kind Islamic knowledge platform in collaboration with the University of Madinah, designed to help users discover authentic answers from trusted scholars and sources through modern AI-powered technology.
We explored the intersection of artificial intelligence, semantic search, and religious knowledge management by designing a system capable of automatically scraping, processing, categorizing, translating, and indexing Islamic content across multiple online sources. The platform was architected with a rigorous human quality assurance workflow, ensuring scholars and volunteers could review, edit, and approve information before it reached end users.
Our work included a Flutter mobile application, a Python-powered data processing pipeline, automated web scrapers, multilingual English-Arabic content handling, and a semantic search engine built using vector databases and AI techniques to retrieve answers based on meaning rather than exact keywords. The system also considered accessibility features including speech-to-text, text-to-speech, and sign-language integrations to make Islamic knowledge available to a broader audience.