QueueSense
Team MRT
An AI-assisted crowd-density reporting tool for student commuters across three Singapore train stations.
Demo Day is a wall of live systems. Every cohort project shows shipped state, user signal, weekly build logs, and the proof behind the claim.
How to read the portal
Shipped state: what is live, piloted, or usable right now.
User signal: who touched it and what changed after feedback.
Proof trail: commits, footage, logs, datasets, receipts, or metrics.
Team MRT
An AI-assisted crowd-density reporting tool for student commuters across three Singapore train stations.
Ari & Dev
Low-cost moisture sensing patches for school gardens, tested with direct readings and maintenance logs.
Kai
An AI-generated study loop that converts weak topics into peer challenges and weekly progress receipts.
Project Five
A direct food-surplus loop connecting school canteens with nearby volunteer distributors and live pickup logs.
Nadia Lab
Independent sampling and microscopy records turned into a searchable public dataset of local waterways.
Three AM
A patient intake workflow that uses AI to summarize forms and flag missing information for small clinic admins.
Visitors inspect working projects, raw build logs, user feedback, and verification artifacts before talking to builders. The demo comes first; the story comes after.