Page 90 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact



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                              Item                                    Details
                       Testbeds or Pilot  The solution has undergone extensive field validation through multi-re-
                       Deployments         gional pilot deployments, ensuring real-world usability and scalability.
                                           •  Gimhae City Deployment: AI Senior Care Content has been actively
                                              implemented in 36 smart senior centres, with plans to scale the
                                              deployment to over 50 facilities nationwide. These centres serve as
                                              a core testbed for evaluating content usability, interaction patterns,
                                              and health-related engagement metrics.
                                           •  National Pilot with Ministry of Health and Welfare: A large-scale
                                              demonstration involving 500 elderly participants is being conducted
                                              under the supervision of the National Rehabilitation Centre. The
                                              project tests the effectiveness of the AI Conversational Companion
                                              Service across various user profiles and care environments.
                                           •  International PoC with Japan (SpiralAI) [7]: Collaborative Proof-of-Con-
                                              cept projects are being carried out with SpiralAI and local Japanese
                                              governments. These pilots are focused on validating cultural adapt-
                                              ability, multilingual LLM performance and integration into Japan’s
                                              ageing care ecosystem.

                       Code repositories   Not publicly disclosed


                      2      Use Case Description


                      2�1     Description


                      In response to the escalating challenges posed by ageing populations, ESTsoft has developed
                      a comprehensive AI-driven solution to enhance the emotional, cognitive, and physical well-
                      being of seniors [3]. This initiative comprises two core components: AI Senior Care Content and
                      the AI Conversational Companion Service. The content offering includes over 180 specialised
                      programs, such as traditional music, guided exercise, and cognitive training games, currently
                      deployed across senior centres via television-based platforms. A key strength of the service lies
                      in its advanced personalisation capability. Each content module is systematically tagged using
                      a health classification framework adopted from the Ministry of Health and Welfare [5] and the
                      National Rehabilitation Centre [6]. When a senior interacts with the AI avatar, their inputs and
                      behavioural patterns are processed through a classification algorithm that identifies and delivers
                      the most suitable content. As usage data accumulates, ESTsoft aims to evolve this system further
                      using machine learning, ultimately enabling dynamic, data-driven personalisation at scale [1].

                      Building on this personalised approach, the AI Conversational Companion Service delivers real-
                      time, lifelike interactions through AI avatars. These avatars are equipped with core functionalities
                      including health monitoring, memory assistance, and dementia prevention, all underpinned by
                      a senior-optimised Large Language Model (LLM) and high-precision Speech-to-Text (STT) and
                      Text-to-Speech (TTS) technologies. Real-time feedback is continuously gathered from users
                      across 36 senior centres and partner medical institutions. Integration with wearable devices,
                      such as smartwatches, enables seamless tracking of key health indicators, including heart
                      rate, sleep cycles, and physical activity. These data streams form a robust feedback loop that
                      enhances service quality, facilitates adaptive content delivery, and ensures timely, individualised
                      support for seniors.






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