BANGLADESH · SYNTHETIC SCENARIO STUDIO
The delta,
one step ahead.
Understand the assumptions behind a rain-to-river exercise, then explore a fictional response network.
WHAT YOU CAN EXPLORE
Trace the assumptions. Test a constraint.
Select six exercise areas, four presets and four horizons. Inspect weighted screening factors, a model-stage trace, capacity-aware fictional routes and English/Bangla drafts. Download the exact selected case as JSON or the trace as CSV.
Where the results come from
The public catalog is generated directly by JolPulse’s original Python domain functions. Fixed illustrative coefficients turn rainfall, saturation, margin and rise assumptions into an index and stage trace. A shortest-path calculation respects fictional corridor closures and hub capacities. The envelope represents assumptions, not statistical confidence.
Website edition and source privacy
This public browser edition displays precomputed cases. The full local Python HTTP/SQLite application and its optional AI integration remain in a private GitHub repository. The website performs no live observation fetch, database save, model request or message delivery.
Share the exercise
Share this public page to invite feedback on the workflow, clarity and assumptions. Public promotion stays active while the source repository remains private.
Try JolPulse → · Public app metadata · Plain-text methodology · Licensing notices
Original application material: CC0-1.0. Creator: Mohammad Rezwan Khan. Browser edition: 2026-10-07. No human emergency-use validation is claimed.