A doctor at a primary health centre in rural Odisha could soon receive AI-powered assistance in diagnosing patients, while farmers nearby get crop recommendations tailored to their soil and weather conditions. The state government unveiled a comprehensive roadmap on Wednesday to make this a reality.
Senior officials announced the strategy at the India AI Impact Summit, outlining plans to move artificial intelligence from pilot projects to population-scale deployment. The initiative targets healthcare, agriculture, education, disaster management and governance, with particular focus on reaching tribal and low-literacy communities.
Odisha joins a growing number of states, including Karnataka, Telangana and Tamil Nadu, in developing formal AI strategies. The Centre allocated ₹10,372 crore to its India AI Mission in the 2024–25 budget, prompting state governments to compete for investment in data centres and emerging technologies.
How Odisha AI roadmap will work in healthcare and farming
The state government has identified specific applications for each priority sector. In healthcare, clinical decision support systems will assist doctors at rural primary health centres. These systems analyse patient symptoms and medical history to suggest possible diagnoses, helping physicians who often work without specialist support.
For agriculture, the government plans to deliver precision farming advisories through AI-powered platforms. Farmers will receive recommendations specific to their crops, based on weather forecasts, soil conditions and current market prices. The platform analyses multiple data sources to suggest optimal planting times, irrigation schedules and harvest windows.
Vishal Kumar Dev, Additional Chief Secretary for Electronics and IT, said the state was building formal governance structures around AI deployment.
“We are institutionalising AI through clear governance, dedicated budgets and execution frameworks. Odisha is moving from being a technology adopter to a technology creator, ready to partner with industry, startups and global players to scale responsibly,” he said.
Odia-language voice platform targets low-literacy users
A central element of the strategy involves developing AI tools that understand and respond in Odia. The government is building a voice-based citizen service platform that allows residents to access government services through spoken commands rather than written text.
This approach aims to reach communities where literacy rates remain low and smartphone usage is primarily voice-driven. Users could check pension status, apply for ration cards or report grievances by speaking into their phones in their native language.
The state has contributed more than 1,600 literary datasets to national repositories maintained by the Ministry of Electronics and Information Technology (MeitY). Additional text and audio resources are being compiled to improve accuracy of AI tools for local users.
Flood forecasting to strengthen disaster response
Odisha, which faces frequent cyclones and floods, will deploy AI-driven flood forecasting models to improve early warning systems. Predictive analytics, which uses historical data and real-time inputs to anticipate future events, will help authorities identify at-risk areas before disasters strike.
The 1999 super cyclone killed more than 10,000 people in the state. Since then, Odisha has built one of India’s most effective disaster response mechanisms. AI-powered forecasting aims to extend warning times further, giving residents more hours to evacuate.
The state is also positioning its power surplus and fiscal stability as advantages for hosting large-scale data centres. Data centres require enormous amounts of electricity to run servers and cooling systems. Officials believe this could attract global capability centres and generate high-skill employment.
The roadmap aligns with the state’s Digital Odisha Vision 2047, a long-term plan to expand technology’s role in economic growth and public services. Implementation will depend on securing private sector partnerships and training government staff to work alongside AI systems.
