After PM's 'Tech Sovereignty' Push, MeitY To Launch 15 AI Models In Health, Agriculture Soon

Last Updated:July 02, 2025, 09:50 IST

A senior officer said the AI apps are undergoing testing and customisation for regional and vernacular integration, with deployment expected in phases starting later this year

The project is also aligned with India’s broader AI stack strategy, which includes building indigenous computer infrastructure and open-source LLMs trained on Indian languages and datasets. (Pixabay)

The Ministry of Electronics and Information Technology (MeitY) has reached the final evaluation stage of rolling out around 15 India-developed foundational Large Language Models (LLMs) and AI-powered applications for several ministries and departments spanning agriculture, healthcare, and education, News18 has learnt. The development follows Prime Minister Narendra Modi’s strong pitch for technological sovereignty and homegrown AI models during a series of meetings with the secretariat.

The LLM models, which were approved by the government a few months ago, are now going to be integrated into the public-facing websites, adding an AI-driven edge to administration and services.

These homegrown models, which are part of the government’s push to reduce dependency on global AI giants, are being fine-tuned to address critical sectors such as crop advisory, medical diagnostics, and adaptive learning for students across sectors and regions. A senior officer, who is involved in the process, confirms that the AI apps are now undergoing rigorous testing and customisation for several regional and vernacular integration, with deployment expected in phases starting later this year.

“India will not just consume AI. Instead, it will build its own foundation models tailored for Indian needs. All AI-driven platforms or applications will have 22 language translation options to fit into India’s diverse culture and society," a senior MeitY official said, adding that the model backbone and core features have been created mostly by Indian technology.

The upcoming models will include a range of AI-powered solutions designed to enhance public services across key sectors, especially for the rural hinterland. In rural healthcare, advanced AI tools will assist in the accessible and early diagnosis of diseases, helping to bridge the gap in medical access and timely intervention.

The agri-tech platforms will build in predictive analytics to support farmers with intelligent irrigation planning, real-time weather data and pest alerts, along with detailed soil data analysis, enabling more efficient and sustainable farming practices.

Additionally, the education sector will benefit from LLM-driven content generators and vernacular tutoring assistants, offering personalised learning materials and support in regional languages to improve accessibility and engagement across diverse student populations.

This move is seen as a direct response to the Modi government’s vision of making India tech-reliant, tech-resilient and self-sufficient, especially amid growing concerns over data security and algorithmic bias in Western LLMs. “In all meetings, the PM always prodded us to build something which can be seen as a contribution of Bharat to the global technology sector," said a senior IAS officer.

The project is also aligned with India’s broader AI stack strategy, which includes building indigenous computer infrastructure and open-source LLMs trained on Indian languages and datasets.

According to sources, the apps are in the penultimate validation phase and will be demonstrated internally before public rollout.

Madhuparna Das

Madhuparna Das, Associate Editor (policy) at CNN News 18, has been in journalism for nearly 14 years. She has extensively been covering politics, policy, crime and internal security issues. She has covered Naxa...Read More

Madhuparna Das, Associate Editor (policy) at CNN News 18, has been in journalism for nearly 14 years. She has extensively been covering politics, policy, crime and internal security issues. She has covered Naxa...

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