AI / ML · Multi-source satellite data · North Indian Ocean
Detect, classify and forecast tropical cyclones before they reach the coast.
Dravik fuses INSAT-3D infrared imagery, scatterometer winds, rainfall and reanalysis data into one pipeline. Deep-learning models find the storm, estimate its intensity on the IMD scale, predict its track for the next 24 hours, and turn that into district-level risk alerts.
7IMD intensity classes
+24 h6-hourly track prediction
5satellite & weather feeds
30 minrefresh with each scan
LIVE · IR1
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NIO status
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Latest system
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Max wind
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IMD class
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System modules
Cyclone monitoring & early warning
From satellite observations to actionable alerts. Every box is a working module of Dravik; click one to open it.
Data sources
Satellite images
Weather & ocean data
Data collector
Auto-fetch latest data
every 15 min
Processing pipeline
Clean · Resize · Normalize
Extract features
AI / ML engine
DetectionCyclone yes / no
IntensityWind · category
TrackNext 24 h lat/lon
Backend / API
Process requests
Serve data & AI results
Database
Current & historical data
Predictions & alerts
Risk engine
Identify affected areas
Generate risks & alerts
Live government feeds
GDACS (EU JRC · UN OCHA) · JTWC advisories · IMD CAP warnings
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North Indian Ocean
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Active worldwide · GDACS
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IMD warnings · CAP feed
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Explore
Open a module
Track dashboardMap, intensity, 24 h track prediction and impact for live and historical storms.
Satellite AICheck any INSAT image: cyclone or not, intensity, wind speed and type.
Live government dataIMD warnings, GDACS events and the live INSAT-3DR image.
Alerts & riskDistrict risk levels, actions for authorities and advice for the public.