Abstract:
The English translation of the Holy Quran serves as an essential guide for spiritual
enlightenment and wisdom globally. This research emphasizes the application of
advanced deep learning techniques for classifying and generating verses from this
translated Quran based on search indexes. This study explores the profound significance
of making these teachings accessible worldwide and highlights the transformative impact
of deep learning advancements in facilitating deeper understanding and interpretation.
Utilizing models such as RNNs, CNNs, and our own Hybrid model, our research
achieves significant classification accuracy. Specifically, RNN models all kinds and
CNNs achieved accuracy above 85% while the Hybrid model surpassed them with
99.91%. These models enable efficient categorization and also this study focuses on
retrieval of Quranic verses based on search queries, thereby enhancing accessibility and
usability. This research underscores the significance of integrating religious teachings
with cutting-edge deep learning innovations. By integrating deep learning into the study
of religious texts, we facilitate scholarly research, educational tools, and personalized
spiritual exploration.
