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Fire Drill — Safety Drills for Human–AI Teams
Flip the Switch HackathonNov 2026
Fire Drill helps teams test whether human review catches flawed AI proposals before they become actions. A Worker produces legitimate proposals, a Canary inserts controlled flaws, and an Auditor measures detection and recommends review changes. Canary proposals are excluded from execution. The reproducible offline demo caught 5 of 12 canaries, with zero canaries executed. A hosted dashboard and protected API support drill runs; live model authentication is still being resolved.
Cascade Sentinel
Graph HacksOct 2026
Climate disasters cascade: a flood knocks out power, which spoils the cold chain, which hits dairy and health. AI agents asked to respond often guess confidently with no evidence. Cascade Sentinel is a multi-agent climate cascade system where FalkorDB is the judge, the memory and the conscience. Agents propose cascade paths, and FalkorDB checks each one against the graph and weights it by each agent's track record. It only recommends an intervention when graph precedent supports it, and it refuses with UNPRECEDENTED (escalating to a human) when there's none. Every closed episode is written back, so the system learns which interventions actually worked. It's for disaster-response and district planning teams who need anticipatory action they can audit, not hallucinated advice. Stack: FalkorDB (Cypher, per-tenant multigraph), Python, FastAPI, an MCP server with 11 tools, and a Cytoscape.js dashboard. It's live on Render with real FalkorDB.
CODE4CHANGE@rishit182006
ThirstCast: Thirstwave Early Warning and Water-Demand Nowcasting for India
Environmental HacksOct 2026