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Wolbachia shields half of Singapore's homes, yet 97% of dengue cluster cases now strike outside it. DengueRadar warns each neighbourhood two weeks ahead and shows officers where to act first.
Measuring how long it *really* takes people with accessibility needs to reach essential services in Singapore (rather than just how far), so planners know where to build next.
Forecast dengue cluster activity two weeks ahead and rank five Singapore planning areas, helping town councils and volunteers prioritise breeding-site checks and resident outreach.
SeniorGoWhere helps seniors reach care, markets and hawker centres by bus and park connectors, while ranking neighbourhoods by journey time.
Helping planners map elderly access to care, inspect first- and last-mile journeys, and test where new facilities could improve accessibility.
SilverSense turns Singapore open data into explainable social isolation risk and targeted community action for older adults.
See who gets cut off before a hawker centre closes. HawkerReach maps which seniors lose walkable access, which centres get overloaded, and where a temporary market helps most.
An autonomous dengue early warning system that retrains itself, forecasts risk 2 weeks ahead by planning area, and puts seniors first. Officers approve every update.
One early-warning platform for any environmental hazard: forecast it, find who's most exposed, tell them what to do. Starting with Singapore's heat and haze.
A copilot that tells social workers who needs them this week — and what to say when they knock.
Turning flood data into early action
Trend forecasts undercounted Singapore's 2025 population aged 75+ by 15%. Heartland projects each town's ageing population from public data (2.3% median error) and shows where care must grow.
Forecasts which Singapore neighbourhoods will run short of clinics for seniors, and when, so planners know where the next clinic should go.
Turn live heat, elderly vulnerability, and cooling-access data into an explainable risk map and recommend where limited cooling resources should go first.
HOT SIA forecasts hot nights for every HDB block at 5 pm. With the same number of alerts, it catches 70% of hot nights, vs 60% for NEA's forecast! Care staff and residents get a warning.
Long B2B sales cycles swing between long quiet periods to bursts, scattering emails, files, video meetings and transcripts, wasting hours, slowing follow-up, and risking deals. SyncRoom solves this.
“DataPulse: Real‑time insights powered by Amazon cloud.”
Heat-adjusted accessibility for the sandwich generation — because a cycling path that works at 7am doesn't work at 2pm.
HawkerShift helps community coordinators identify HDB blocks at risk of losing walkable access to affordable meals during hawker centre closures, verify alternatives and plan targeted support.
We are Year 1 students from ITE CW Data Engineering,
An explainable two-week dengue risk forecasting system that uses public dengue and weather data to help communities act earlier.
Our project is a Real-Time Incident Analytics and Alert Platform designed to monitor and analyze incidents such as accidents, road blockages, waterlogging, potholes, and other emergencies.
An AI-powered interactive platform that makes quantum computing easier to learn through guided lessons, quizzes, circuit building, simulation, and step-by-step quantum state visualization.
