The Kerala Government is planning to embrace artificial intelligence to tackle administrative challenges, with students, researchers and startups invited to contribute innovative solutions. State IT Mission, in collaboration with Kerala Startup Mission (KSUM), invited artificial intelligence (AI) solutions that address real-world governance challenges identified by various departments under the ‘K-AI Initiative: AI for Governance’ programme.
Departments including Health and Family Welfare, Agriculture, Law, Education and Social Welfare have expressed interest in adopting AI-driven solutions. Innovators, students, researchers and startups can submit AI-based governance solutions that can be leveraged by various governing bodies of state governments.
A flagship initiative aimed at accelerating the adoption of AI solutions across govt departments, Kerala AI (K-AI) envisions a collaborative ecosystem where emerging technologies meet public service delivery, enabling smarter, faster and citizen-centric governance.
K-AI aims to create a dynamic platform for the co-creation and deployment of tech-driven interventions in the public sector by identifying real-world use cases from various departments and mapping them to innovative AI solutions developed by startups. Use cases have been published under both department-specific and common challenge categories on the web portal.
K-AI brings together govt bodies, technology innovators, startups, researchers and citizens to harness AI for the public good. The mission focuses on identifying real challenges from diverse sectors and co-creating AI solutions that are ethical, transparent and people-centric.
Some of the govt departments, including health and family welfare, agriculture, law enforcement, education and social welfare, have already shown interest in deploying AI-based solutions in their activities. The health department is exploring AI to forecast communicable disease outbreaks and support doctors with AI-based diagnostic systems. They are also aiming at faster detection of epidemics like dengue or Nipah and more accurate diagnoses at the hospital level.
