🎓 Student Research Project Spotlight: Leveraging LLMs for Multilingual User Feedback in Islamic Apps
At Greentech Apps Foundation (GTAF), we believe the future of Islamic technology lies in collaboration—between professionals, researchers, students, and the global ummah. As part of this vision, we’re excited to share a new research project developed by students from the Systems and Software Lab, Department of CSE, Islamic University of Technology (IUT), under our ongoing R&D collaboration.
🧪 Project Title:
LLM-based Analysis, Categorization and Responding to Multi-lingual (Arabic and English) User Reviews from Google Play Store for Islamic Apps
👨‍💻 Student Researchers:
- Mushfiqur Rahman Talha
- Tahlil Mahfuz
- Kawsar Ahamad
👨‍🏫 Supervised by:
- Professor Kamrul Hasan, IUT
- Co-supervised by Dr Riasat Islam, Greentech Apps Foundation
This project builds directly on our earlier work titled “How We Use AI to Streamline Customer Support and Reply to Over 60,000 User Reviews”. In that initiative, we leveraged large language models (LLMs) like Mistral-7B and SetFit to classify, analyze, and generate intelligent responses to thousands of user reviews for our flagship Quran app.
🌍 Why It Matters
Understanding our users—regardless of language—is critical to serving the global Muslim community. Islamic apps must respond with empathy, clarity, and relevance. Automating this process with care and precision allows us to:
- Detect real issues quickly and solve them.
- Correct rating mistakes.
- Show appreciation for praise.
- Receive meaningful feedback on future features.
🚀 Looking Ahead
This project is a stepping stone in our broader R&D agenda of building intelligent, user-centric Islamic applications. We are proud to support the next generation of Muslim engineers and researchers through impactful real-world problems that combine faith, technology, and service.
If you’re a student, researcher, or institution interested in collaborating, we’d love to hear from you!
📨 Reach out at https://gtaf.org
