A research and development initiative focused on NLP and low-resource technologies for the languages of Meghalaya, including Khasi, Pnar, Garo, and dialectical variations.
Advancing NLP research structurally tailored to the unique linguistic morphology of indigenous languages.
Creating strictly gated datasets and highly reproducible models to establish standardized language benchmarks.
Taking findings out of the academic silo and engineering real-world, highly scalable practical applications.
Enforcing transparent, community-led AI development that explicitly respects indigenous data sovereignty.
Targeted, strategic initiatives to digitize Meghalayan languages.
Developing robust Neural Machine Translation (NMT) pipelines specifically optimized for Khasi, Garo, and related regional dialects.
Leading thorough language documentation, corpus creation, and building robust annotation interfaces for community contributors.
Engineering intelligent chatbot interfaces and adaptive dialogue systems tailored strictly to regional linguistic nuances.
Spearheading Neural Machine Translation architectures and full-stack deployment for low-resource languages.
Driving OCR development for LoRes Languages, and ASR/TTS for Khasic Languages.