Category: Research
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Quranic ASR with Transformer Models: Speech Recognition for Qur’an Recitation
Quranic ASR with Transformer Models: Speech Recognition for Qur’an Recitation
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Designing Islamic Apps for Interconnected Learning
Designing Islamic Apps for Interconnected Learning
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Hadith Computational Science in the Age of Large Language Models
Hadith Computational Science in the Age of Large Language Models
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The Core Promise Principle: Why Some Data Loss Kills Companies
When companies lose user data, some survive while others die. The difference isn’t about the size of the breach or how much data was lost—it’s about what was lost. The Pattern Between 2009 and 2022, four major companies experienced catastrophic data loss: Ma.gnolia (2009): Lost all user bookmarks. Dead in 18 days. GitLab (2017): Lost…
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Elasticsearch Search Optimisation for Hadith & Islamic Text Retrieval
Author: Mushfiqur Rahman TalhaOrganisation: Greentech Apps Foundation (GTAF) Elasticsearch Search Optimisation for Islamic Digital Libraries Elasticsearch search optimisation is a critical challenge for Islamic digital platforms, where accuracy, trust, and scholarly integrity depend heavily on search quality. Search is not just a technical feature for Islamic digital platforms, it is a matter of trust, learning…
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Sheikh Mustafa Al-Azami’s (رَحِمَهُ ٱللَّٰهُ) Vision: Making Hadith Accessible Everywhere
Today, accessing authenticated Hadith narrations on your smartphone takes mere seconds. This seamless experience—now taken for granted by millions—was nearly impossible half a century ago. The technology behind it comes from Sheikh Muhammed Mustafa Al-Azami’s (may Allah have mercy on him) pioneering vision, extraordinary dedication, and his belief that Muslims should lead, not follow, in…
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Greentech R&D – Year-End Report — 2025
Islamic AI Research – “Building with ihsān, rigour, and responsibility” Overview In 2025, the Research & Development (R&D) function at Greentech Apps Foundation (GTAF) focused on strengthening the organisation’s Islamic AI Research, analytical foundations, learning science capabilities, Islamic knowledge infrastructure, and decision-making maturity, while remaining firmly anchored to its mission: helping Muslims understand Islam. This…
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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…
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Building Islamic Computing, One Conversation at a Time
Reflections from the Muslims in AI Event 2025 at Imperial College London Alhamdulillah. Recently, I had the honour of speaking at the Muslims in AI 2025 event hosted at Imperial College London, where I shared Greentech Apps Foundation’s journey and ongoing work in Islamic Computing — how we use AI, data, and human-centred design to…
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Evaluating the Performance of Our Narrator Chain Extraction System for Hadith Analysis
Author: Md. Ashraful Haque, GTAF R&DDate: 12/08/2025 At Greentech Apps Foundation (GTAF), we are continuously innovating to bridge classical Islamic scholarship with modern computational tools. As part of our ongoing mission to digitize and analyze Islamic texts, we recently completed a performance assessment of our narrator chain (isnād) extraction system—a key component of our AI-driven…