Abstract
The need to improve Muslims' understanding and application of Tajweed rules served as the driving force behind this effort. The problem statement focused on the absence of an intelligent system that provides real-time feedback on Tajweed recitations, which is a significant challenge faced by learners. A unique approach that combined machine learning and audio processing techniques was used to overcome the issue. The actual challenge was creating the interactive website "TajweedTutor," which enabled users to record their audio recitations of Quranic passages and get immediate feedback on how well they adhered to Tajweed regulations. By extracting and analyzing audio features, machine learning models were trained to recognize specific Tajweed rules and provide instant feedback to users. This approach not only marked a pioneering use of AI in the domain of Tajweed education but also offered a unique interactive learning experience, thereby addressing the specific challenge of real-time feedback in Tajweed learning. The findings indicated that the system effectively recognized and assessed Tajweed rule adherence, improving users' recitation proficiency. This project introduced a transformative tool for Tajweed education, combining tradition with technology to enhance Quranic recitation skills in a user-friendly and accessible manner.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Badrul Hisham, Muhammad Aiman Muhammadaiman1662@gmail.com |
| Subjects: | B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc > Islam > Qurʼan. Koran B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc > Islam > Qurʼan. Koran > Study and teaching. Qurʼan studies. ʻUlūm al-Qurʼan |
| Divisions: | Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences |
| Journal or Publication Title: | Progress in Computer and Mathematics Journal (PCMJ) |
| ISSN: | 3030-6728 |
| Volume: | 2 |
| Page Range: | pp. 16-25 |
| Keywords: | Tajweed, Quranic, Machine learning, AI, Recitation, Functionality testing, Web application |
| Date: | August 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/126844 |
