Tag: islamic ai

  • ADAB: Culturally-Aligned AI for Responding to Islamic App Reviews

    ADAB: Culturally-Aligned AI for Responding to Islamic App Reviews

    By Greentech Apps Foundation (GTAF) Research Team How should an Islamic app respond to user reviews at scale while maintaining adab, humility, and cultural authenticity? This question motivated our latest research work, ADAB: A Culturally-Aligned Automated Response Generation Framework for Islamic App Reviews, which has been accepted at the NeurIPS 2025 Workshop on Muslims in…

  • Making Islamic Scholarship Accessible with AI

    Making Islamic Scholarship Accessible with AI

    Published by: Md. Ashraful Haque, Greentech Apps Foundation – R&DDate: 14 July 2025 What We Built We created an AI system that helps people understand hadith texts better. Islamic scholars like Imam Malik and Imam Bukhari (رحمهم الله) already did amazing work preserving the teachings of Prophet Muhammad (ﷺ). Our job is simply to make…

  • Extracting Knowledge from Hadith Using Named Entity Recognition and LLMs

    Extracting Knowledge from Hadith Using Named Entity Recognition and LLMs

    Published: 23 October 2024Author: Mohammad Galib Shams, Nabil Mosharraf Hossain, Riasat Islam Introduction At Greentech Apps Foundation (GTAF), we are always looking for new ways to enhance user engagement with Islamic content. In our latest research project, we focused on automating the extraction of structured information from hadith using Named Entity Recognition (NER) powered by…

  • Enhancing Related Hadith Suggestions Using Sentence Transformers

    Enhancing Related Hadith Suggestions Using Sentence Transformers

    Published Date: 24 May 2024Author: Mohammad Galib Shams, Nabil Mosharraf Hossain At Greentech Apps Foundation, we constantly look for ways to help users explore the Hadith literature more meaningfully. One of our goals is to connect users with related Hadiths—narrations that share similar meanings, themes, or wording—across various collections. However, the current system for identifying…