The government of Madhya Pradesh has signed a memorandum of understanding (MoU) with Digital India BHASHINI Division (DIBD), Ministry of Electronics and Information Technology (MeitY). The MoU formalises collaboration to enable multilingual digital governance through the integration of BHASHINI’s language technologies, translation APIs, and AI-powered language tools across state government digital platforms, ensuring wider access to public services in multiple Indian languages. The collaboration took place at Madhya Pradesh Regional AI Impact Conference 2026, held in Bhopal.
Through this partnership, BHASHINI will support the deployment of voice-first and multilingual AI solutions across Madhya Pradesh’s digital governance ecosystem, strengthening accessibility, inclusivity, and last-mile service delivery.
Meanwhile, the conference was inaugurated by chief minister of Madhya Pradesh, who highlighted the state’s vision of using AI for citizen-centric governance and announced that Madhya Pradesh will soon introduce a State AI Policy in mission mode. He emphasised the role of multilingual platforms such as BHASHINI in extending AI-led governance across linguistic and regional boundaries.
Further, additional secretary, MeitY and chief executive officer (CEO), IndiaAI, emphasised the importance of language datasets in strengthening AI systems and noted that BHASHINI enables seamless multilingual translation across Indian languages, supporting effective and inclusive delivery of digital government services.
Furthermore, additional chief secretary, Department of Science and Technology and Department of Urban Development and Housing, Government of Madhya Pradesh, emphasised that integration with BHASHINI would enable state governance platforms to operate seamlessly across multiple Indian languages, ensuring equitable access to digital services for citizens from diverse linguistic backgrounds.
In addition, BHASHINI’s role was further highlighted through the participation of CEO, Digital India BHASHINI Division, in the thematic session on “Technology-Led Governance for All.” During the discussion, he emphasised that AI adoption is a continuous journey of improvement, driven by real-world usage, feedback, and iterative model enhancement. He highlighted the importance of working in open and collaborative ecosystems, where AI systems evolve through partnerships with government stakeholders, industry, and the broader community. He also underlined that data forms the foundation of AI, and sustained dataset creation is essential for building effective, scalable, and inclusive language AI systems.
