Context:

Its first government-funded multimodal Large Language Model (LLM) designed for Indian languages at the BharatGen Summit 2025.

What is BharatGen?

BharatGen is a multimodal Large Language Model (LLM) developed to understand and generate text, speech, and image-based content in 22 Indian languages. It is designed to reflect and serve the linguistic, cultural, and regional diversity of India.

Who Developed It?

BharatGen is led by the TIH Foundation for IoT and IoE at IIT Bombay,
and funded under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS).

Core Objectives:

• Build an inclusive and democratic AI ecosystem grounded in Indian languages and values.
• Develop ethical, accessible AI tools that serve all regions and social groups.
• Enable localized solutions for key sectors like governance, healthcare, education, and agriculture.
• Promote AI-driven innovation, entrepreneurship, and research within India.

Key Features:

• Multimodal Functionality:
  Handles text, speech, and image processing, enabling a wide spectrum of AI use cases.
• Language Diversity:
  Trained across 22 Indian languages, including regional and minority dialects.
• Inclusive Focus:
  Tailored to benefit rural and underserved communities, especially in critical services like health and governance.
• Scalable Deployment:
  Supports national platforms like:
  • CPGRAMS (public grievances)
  • AI-powered telemedicine
  • AI-enabled education tools
• Collaborative Development:
  Built through partnerships across government, academia, startups, and students, including through hackathons and R&D innovation hubs.

Why It Matters:

• Driving National Innovation:
  Supports the “India’s Techade” vision of inclusive, tech-led growth.
• Culturally Aligned AI:
  Delivers context-aware, culturally relevant solutions rooted in Indian social realities.
• Education Transformation:
  Advances AI integration in learning, aligning with NEP 2020 goals of bridging technology and the humanities.