Bhashini — Government of India language initiative Bhashini
National Institute of Technology Meghalaya NIT Meghalaya
Chandigarh University Chandigarh University
APG Shimla University Shimla University
Radio Punjab 90.0 FM Radio Punjab

Logos and names shown here may represent student-linked participation, community involvement, research interaction, or ecosystem-level support, and do not by themselves imply formal institutional partnership or endorsement.

Contributors

Institution-linked contributors and community collaborators.

NIT Meghalaya

Student contributors and academic connections from NIT Meghalaya have supported Khasi language data collection, annotation, and evaluation. Contributors from the institution have been involved in building and reviewing the Khasi corpora used in Bha-Kha model training and evaluation.

Chandigarh University

Student contributors from Chandigarh University have participated in AI research, language technology projects, and development initiatives across Medharvix research tracks.

APG Shimla University

Academic connections and student contributors from Shimla University have engaged in research collaboration and language technology development within the Medharvix ecosystem.

Radio Punjab

Community and media collaboration supporting language AI awareness and outreach for regional language communities. Radio Punjab contributes to community engagement around Bhasaflow, a Medharvix Systems platform, and its language technology work.

Bhashini

Ecosystem-level interaction with the Government of India’s Bhashini initiative, which provides language technology infrastructure and resources relevant to Medharvix’s work in Indian language AI and translation systems.

Community

Plus a growing network of individual collaborators.

Beyond institution-linked contributors, Medharvix works with over 20 Khasi-speaking collaborators who contribute to data annotation, translation review, evaluation, and quality assurance across our language AI work.

Join our network.

We are open to conversations with academic communities, research collaborators, student groups, and ecosystem contributors who want to support practical AI development for underserved languages and domains.