Update README.md

README.md

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 # MWire Labs
 
-MWire Labs is the applied AI research wing of MWire (Formerly known as Marketing Wire).  
-We build scalable, ethical AI systems for underrepresented languages and grassroots data — pioneering research from Northeast India with global relevance.  
+MWire Labs is the applied AI research wing of MWire, formerly Marketing Wire.  
+We build scalable, ethical AI systems for underrepresented languages and grassroots data — pioneering research from Northeast India with global relevance.
 
-Our work bridges the gap between **local challenges and frontier AI**, creating models and datasets that empower governance, nonprofits, and rural innovation.
+Our work bridges the gap between local challenges and frontier AI, creating models and datasets that empower governance, nonprofits, and rural innovation.
 
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 ## Focus
-
-- **Low-Resource NLP**: Building language models for Khasi and other underserved languages.  
-- **Grassroots Datasets**: Structuring data from villages, agriculture, and civic institutions.  
-- **Applied Civic AI**: Turning AI research into practical tools for governance and entrepreneurship.  
+- **Low-Resource NLP** — building language models for underserved languages.  
+- **Grassroots Datasets** — structuring data from villages, agriculture, and civic institutions.  
+- **Applied Civic AI** — turning AI research into practical tools for governance and entrepreneurship.  
 
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 ## Flagship Work
-
-- [KhasiBERT](https://huggingface.co/MWirelabs/khasibert) — the first Khasi language transformer model.  
-- [Khasi-English Semantic Search](https://huggingface.co/MWirelabs/khasi-english-semantic-search) — cross-lingual search for low-resource contexts.  
-- [Northeast India Districts & Villages Dataset](https://huggingface.co/datasets/MWirelabs/Northeast-India-Districts-and-Villages) — structured registry of 45,000+ villages and 100+ districts.  
+- **KhasiBERT** — the first Khasi language transformer model.  
+- **Khasi-English Semantic Search** — cross-lingual search for low-resource contexts.  
+- **Northeast India Districts & Villages Dataset** — structured registry of 45,000+ villages and 100+ districts.  
 
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 ## Roadmap
-
 - **NeoDAC Models** — lightweight, domain-aligned LLMs for governance and civic tech.  
 - **Expanded Multilingual Embeddings** — covering more Northeast Indian languages.  
 - **Open Agriculture & Rural Datasets** — unlocking insights for farmers, SHGs, and entrepreneurs.  
@@ -52,8 +49,5 @@ Our work bridges the gap between **local challenges and frontier AI**, creating
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 ## Why It Matters
-
 Most AI research overlooks low-resource languages and rural contexts.  
-MWire Labs is proving that **AI can be built for the margins, not just the mainstream** — starting from the Northeast, and scaling to India and beyond.  
-
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+MWire Labs proves that AI can be built for the margins, not just the mainstream — starting in the Northeast and scaling across India and beyond.