Blitz Bureau
NEW DELHI: Building a population-scale linguistic AI is a monumental task. As Project Bhashini scales up, it faces steep technical challenges, strict deadlines, and complex funding structures. Here is a breakdown of what it takes to get machines to speak India’s languages.
Project Bhashini is entirely a Government-led, public-funded initiative, not a corporate venture. It was launched under the National Language Translation Mission (NLTM) by the Ministry of Electronics and Information Technology.
Because it is a core piece of India’s Digital Public Infrastructure (DPI), its Central budget comes directly from Government outlays. It integrates into the broader R10,300+ crore IndiaAI Mission allocated for computing infrastructure and local ecosystem development.
Private sector participates through ecosystem partnerships and data co-creation alliances. For instance, Project Vaani, a major language data gathering initiative, is a collaborative effort between IISc, ARTPARK, Google, and Bhashini.
Rather than cutting CSR cheques to the ministry, corporations donate technical expertise, cloud compute space, or open-source datasets to enrich the public repository.