29/09/2026
🏆 Incredible job to the team of BSc (Information Systems) students comprising Cheo Hao En, Ian Pong, Jonathan Leow, Ryan Low and Tan Hong Yu, on being crowned champions at the SimplifyNext Agentic AI Hackathon for their winning solution 'SilverLoop' – an AI system that monitors, acts, and learns from an elderly person's baseline health metrics.
Hao En outlines the problem statement their team set out to tackle and presents a solution designed to give families and caregivers true peace of mind.
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đź’¬ "Many elderly individuals wish to age in place, yet living alone leaves families in a constant state of anxiety over their safety and day-to-day well-being. Existing solutions often fall short, as generic fitness trackers rely on rigid thresholds that trigger frequent false alarms, adding to the burden of caregivers who are already stretched thin and drowning in noise.
To solve this, we built a multi-agent system that monitors daily metric syncs from an elderly's wearable, analysing their baseline over time to evaluate health patterns from their normal day-to-day activities against a generic thresholds and cutting false positives. The platform features a ranking system that suggests the most suitable, least intrusive activities tailored to the user's daily state. Most importantly, safety guardrails are baked in from day one: no autonomous agent can act alone, ensuring a human always has to review and approve every action before it takes effect."
