Databricks AI Social Impact (DAISI) Challenge - Singapore

The Databricks AI Social Impact (DAISI) Challenge is a national student challenge for Singapore's Institutes of Higher Learning. Student teams take on real societal problems using Singapore's national open data, build free on Databricks, get mentored by Databricks engineers, and pitch to Databricks APJ leadership.

Nine problem statements across three tracks. Every one is grounded in open government datasets from data.gov.sg, SingStat and the agencies, with no login and no cost. Teams take one problem end to end: ingestion, data engineering, machine learning and a live dashboard demo.

Why join

• Work on problems that matter: ageing, climate resilience, housing, mobility and community.
• Learn a platform used by thousands of companies worldwide, at no cost.
• Get a Databricks engineer as a mentor for the two-week build sprint.
• Compete for a prize pool worth up to US$24,500.
• The top team presents at the launch of the new Databricks Singapore office.

What it costs Nothing. Every team builds on Databricks Free Edition. No credit card, no cluster setup, no infrastructure to manage. Notebooks, SQL warehouses, dashboards, Genie, Lakeflow, Unity Catalog and MLflow are all included.

The three tracks

• Track A — Healthy Nation: Caring for an Ageing Singapore
  A1 SilverWatch (social isolation risk)
  A2 DengueRadar (outbreak forecasting)
  A3 HealthPulse (community healthcare demand)
• Track B — Green & Resilient City: Climate Action for Singapore
  B1 HeatGuard (urban heat risk)
  B2 FloodSense (flash flood prediction)
  B3 ZeroWaste Navigator (circular economy)
• Track C — Liveable & Inclusive City: Housing, Mobility & Community
  C1 FlatFair (HDB resale affordability)
  C2 MoveEasy (mobility accessibility)
  C3 KopilamAI (hawker culture and food access)

Full briefs, datasets and expected demo outputs are in the Participant Guide: https://daisi.online/guide