

THIRUVANANTHAPURAM:
Kerala State IT Mission in collaboration with Kerala Startup Mission (KSUM) has invited artificial intelligence (AI) solutions that address real-world governance challenges identified by various departments under the ‘K-AI Initiative: AI for Governance’ programme.
Innovators, students, researchers and startups can submit AI-based governance solutions that can be leveraged by various governing bodies of the Kerala Government.
A flagship initiative aimed at accelerating the adoption of AI solutions across government 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 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.
For more details, visit: https://kai.startupmission.in
Use cases have been published under both department-specific and common challenge categories on the web portal.
K-AI brings together government 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 government departments, including Health and Family Welfare, Agriculture, Law Enforcement, Education and Social Welfare have already evinced 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.
The Agriculture Department has identified AI for pest and disease prediction, crop suitability assessment, and surveillance systems. The Devaswom Board has proposed AI-driven systems to manage crowd in large temple pilgrim gatherings.
Besides, the Police Department is relying on AI for criminal case support, data analysis, and predictive policing models that improve public safety. AI has been identified by the Finance Department for budget preparation, fraud detection, and anomaly spotting in large data sets, ensuring better use of public funds. AI-based student assessment tools to reduce school dropouts and provide early intervention for struggling students are the plans of the Education Department.
Significantly, the State Disaster Management Authority is exploring multi-hazard susceptibility mapping using AI to predict floods, landslides, and other risks, enabling quicker evacuation and better preparedness. In industrial scenario, leveraging AI systems is being discussed to predict hazards and prevent accidents are also under discussion.
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