MWirelabs/khasibert
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AI & ML interests
MWire Labs builds scalable, ethical AI systems—from custom LLMs to multilingual search—for real-world impact across governance, non profits, tourism, and infrastructure.
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MWire Labs
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.
Focus
- 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.
Flagship Work
- 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.
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.
- Applied AI Pilots — in partnership with nonprofits and government bodies.
Why It Matters
Most AI research overlooks low-resource languages and rural contexts.
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.