AI-Based Customized Youth Policy Recommendations and Notifications

Overview

Youth policies are operated separately by central government ministries, local governments, and public institutions, resulting in fragmented policy information that makes it difficult for users to find policies suited to their needs. Furthermore, existing policy platforms are limited to simple viewing and keyword-based search functions, making it challenging to quickly explore and identify policies appropriate for one's specific situation among the vast array available.

Based on private platforms frequently used by young people, the service automatically collects and categorizes youth policy data nationwide. It recommends personalized policies using AI technology. Furthermore, eligible policies can be easily applied for within the platform via DLP (Direct Link Policy) technology, while real-time notifications for key policies ensure young people receive benefits in a timely manner.

Project description

The Youth Policy Customized Platform collects and categorizes youth policies through private platforms to provide tailored recommendations, offering a one-stop service where key policies can be applied for directly.

• Integrated Youth Support Policy Search:
  • Policy data from central government ministries, local governments, and other institutions are being collected and maintained on a daily basis, enabling users to search for various youth support policies in one integrated location.
• Customized Policy Recommendations:
  • Based on profile data such as age, housing type, and income level, AI-based analysis considers young people's diverse and complex situations to recommend personalized policies optimized for each individual
• Simplified Application Service:
  • For key policies, this project will build and integrate application service APIs to enable convenient one-stop applications directly within private platforms. *Korea Student Aid Foundation 'Post-Employment Repayment Student Loan Borrower Reporting Service', Jeju Special Self-Governing Province 'Youth Dream Counseling Application Service'.
• Policy Support Grant Notification Service:
  • This project provides a Policy Support Grant Notification Service that quickly identifies personalized policy support grants by comparing individual profile information with policy data, linked with KB Pay.
• Community Service:
  • This project provides community features where users can freely share opinions not only on policy-related information but also on all aspects of daily life, thereby activating policy participation and information sharing among users.

Key technological features

• AI-Based Policy Recommendation and Application Automation: Utilizes our proprietary recommendation model (AI) to suggest policies tailored to user profiles, with key policies enabling seamless in-platform application via the developer's DLP (Direct Link Policy) technology
  *Enables streamlined and efficient policy linkage, seamlessly connecting users from policy exploration to application within the Wello platform flow
• Data Integration and Authentication System: Utilizes patented technology to collect, classify, and analyze nationwide policies. Integrates with an authentication system to automate eligibility verification and application processing.
• Customized Policy Guidance and Notification Feature: Only policies matching eligibility criteria are selected and delivered to users via real-time notifications.

Expected outcomes

The service enables parents to more easily understand their children's learning difficulties and receive expert-level advice, thereby improving the home learning environment. For public officials and educational institutions, accumulated data can be leveraged to more effectively identify children requiring policy support, enabling the establishment of personalized educational policies. Furthermore, this system enhances accuracy through continuous data learning, increasing its scalability for future use in education and counseling fields. Based on these achievements, it is being supplied to up to 200 caregivers within the Seoul Metropolitan Government's Borderline Intelligence Program from 2024 to March 2025.

Current
Many cases where citizens fail to receive benefits due to lack of awareness of policies and complex application processes

Improved
Effective search for government policies, establishment of an automated application system, and simplification of support policy application procedures

Launch year: 2023

Attribution

Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.1,  https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=28997&parentSeq=29004