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Identifying and categorizing proper nouns in text, known as named entity recognition (NER), is crucial for various natural language processing tasks. However, developing effective NER techniques for low-resource languages like Urdu poses challenges due t
our dataset and CNN can help develop a system to identify and count currency notes. Since the performance of deep learning algorithms in real-world applications is of utmost importance, we plan on testing it on other applications such as recognizing the Surah numbers of The Holy Quran and numbe...