FloodLens: Exploring Why Neighbouring Catchments Flood DifferentlyFloodLens: Exploring Why Neighbouring Catchments Flood Differently
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FloodLens: why one ward floods while its neighbour stays dry
The problem • Flood maps show water depth after the event, not why one area flooded and a nearby one did not
The idea • Compare a flooded catchment with a nearby "twin" ward that had similar rain • Look at the physical differences: elevation, stormwater drains and impervious surface
What it does • Compares catchments, with Chennai as the example area • Adjustable simulation controls: rainfall, drain silt, pipe slope, canal tide and impervious cover • A causal flowchart that tags each point as FACT, SUPPORTED or CAUSAL HYPOTHESIS
Where it stands • A project demonstration, not client work • Not a claim of independently validated flood predictions • The screens below are from the live public demo
Stack: Next.js, FastAPI, Python, PostgreSQL
Open to remote full-stack and AI-integration work (Next.js, FastAPI, Python).
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