Update README.md

README.md

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+short_description: Empowering Machines with Pashto
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 Zirak advances Pashto AI with innovative solutions, enhancing digital accessibility and communication. Focused on NLP and CV, we enable machines to understand Pashto, driving innovation and expanding opportunities for Pashto in the digital world.
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 ## Papers
 
-**[PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language](https://arxiv.org/abs/2505.10055)**
+**🔹[PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language](https://arxiv.org/abs/2505.10055)**
 
-**[NLPashto: NLP Toolkit for Low-resource Pashto Language](https://dx.doi.org/10.14569/IJACSA.2023.01406142)**
+**🔹[NLPashto: NLP Toolkit for Low-resource Pashto Language](https://dx.doi.org/10.14569/IJACSA.2023.01406142)**
 
-**[Correction of Whitespace and Word Segmentation in Noisy Pashto Text using CRF](https://doi.org/10.1016/j.specom.2023.102970)**
+**🔹[Correction of Whitespace and Word Segmentation in Noisy Pashto Text using CRF](https://doi.org/10.1016/j.specom.2023.102970)**
 
-**[POS Tagging of Low-resource Pashto Language: Annotated Corpus and Bert-based Model](https://doi.org/10.21203/rs.3.rs-2712906/v1)**
+**🔹[POS Tagging of Low-resource Pashto Language: Annotated Corpus and Bert-based Model](https://doi.org/10.21203/rs.3.rs-2712906/v1)**
 
-**[Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT](https://doi.org/10.7717/peerj-cs.1617)**
+**🔹[Pashto Offensive Language Detection: A Benchmark Dataset and Monolingual Pashto BERT](https://doi.org/10.7717/peerj-cs.1617)**
 
-**[Social Media’s Dark Secrets: A Propagation, Lexical and Psycholinguistic Ooriented Deep Learning Approach for Fake News Proliferation](https://doi.org/10.1016/j.eswa.2024.124650)**
+**🔹[Social Media’s Dark Secrets: A Propagation, Lexical and Psycholinguistic Ooriented Deep Learning Approach for Fake News Proliferation](https://doi.org/10.1016/j.eswa.2024.124650)**