DAugSindhi addresses the challenges of Sindhi text classification in Natural Language Processing (NLP) due to limited annotated datasets. The study uses data augmentation techniques like Easy Data Augmentation (EDA), Back Translation, Paraphrasing, and Text Generation with Large Language Models (LLMs) to artificially expand the dataset.