Proposal for the application of Artificial Intelligence in the pre-screening of appeal processes for the Individual Performance Evaluation (ADI) of SED/MS. The solution aims to automate the extraction and organization of information, document verification

This service has improved operational efficiency by automating document creation, allowing staff to shift their focus from administrative paperwork to their core mission of facility safety.

By implementing an AI-powered contract chatbot, the project aims to provide efficient support for both new and existing staff, thereby reducing costs and improving overall operational convenience.

There is a growing need for efficient cultural heritage management through the application of Hyper-scale AI technologies for both preservation and utilization.

When a user queries the system regarding procurement or contracting procedures, the AI provides precise guidance based on verified precedents.

This pilot project focuses on School Student Records (SSR)—a task that is consistently time-consuming at the beginning and end of semesters—applying AI to streamline the process among 410 administrative tasks.

To ensure that staff can accurately grasp and reflect these latest updates, the foundation launched a data search and chat service initiative in 2024.

The Public Procurement Service (PPS) aims to develop a service that processes and learns from 25,000 Request for Proposal (RFP) documents (totaling 200 million tokens) registered in its system.

By providing an AI-driven Audit Report Support Service, SR intends to reduce the administrative burden on auditors and support rapid decision-making regarding the analysis of past precedents and the appropriate level of disciplinary action.

The platform utilizes MCLP and GA (Genetic Algorithm) to ensure mathematically sound and socially equitable location planning.

This project aims to build a system that centrally manages military logistics data and utilizes AI-based predictive models to preemptively address procurement delays and item obsolescence.

The system establishes a lightweight Digital Twin environment using public data to support the administrative tasks of government agencies.

To ensure the reliability and speed of the clearance process, the Korea Customs Service has been supporting an AI specialist consortium since 2023 to develop and demonstrate AI solutions for the automatic separation, tracking, and searching of X-ray images.

The development of this Generative AI-based service efficiently organizes complex architectural laws and provides regulation services through a user-friendly classification system.

By providing fire administration assistants and blueprint image analysis services, the system ensures professional expertise, resolves difficulties in mastering complex manuals, and creates an environment where fire safety facilities can be inspected conveniently.

The tools developed in this project will enhance the efficiency and quality of work for examiners and trial judges by providing fast, accurate information.

This service supports the discovery of policy indicators for the Korea Federation of SMEs, the proposal of new policies, and the drafting of press releases by learning from key research materials.

This project aims to demonstrate a service by implementing a GPT-based chatbot capable of providing natural language answers based on the research outputs stored in the NKIS.

This solution aims to alleviate the administrative workload of researchers and enhance the accuracy and efficiency of budget execution by utilizing AI and automation technologies.

An integrated research support service based on a Hyper-scale AI platform will provide the foundation for an efficient research environment.

Yangpyeong County introduced a mobile-based "Self-Metering Function," allowing residents to verify their own water consumption and pay bills directly.

The Integrated Testbed consists of three core pillars designed to facilitate the free development and validation of innovative services: Digital Resources, Development Support Tools, and Professional Technical Support.

This project aims to develop an innovative solution that combines AI-based automated inspection systems with multispectral imaging technology to swiftly analyze public documents for forgeries and revolutionize the immigration clearance procedure.

The system utilizes information about tourist attractions from blogs, lifestyle, and cultural news, classifying data into eight specific categories: Satisfaction, Taste, Price, Scenery, Service, Convenience, Transportation, and Cleanliness.

By scientifically collecting and analyzing data on viewing patterns and exhibition environments, this service fosters a personalized cultural experience, which is expected to significantly enhance public cultural welfare and attract new audiences.

his project involved developing personalized cultural content matching services and releasing various APIs related to cultural facilities to the public.

This service utilizes AI and IoT technologies to analyze fitness measurements and health management data in real time, aiming to support more effective health maintenance by providing personalized health management solutions.

To meet the rapidly changing digital environment and rising public expectations, this project aims to implement an "Evidence-based Smoking Cessation AI Search Service" powered by Hyper-scale AI technology utilizing accumulated smoking cessation databases.

This platform provides health functional food data analysis and personalized health management features, supporting consumers in making safer and more effective choices.

This project was planned to enhance the information accessibility and utility of the existing Regulatory Reform Portal (www.better.go.kr) and the National Law Information System.