Data Collection is fragmented and not freely available.
Manual and time consuming process to collect and consolidate flood data.
Lack of real time system to analyze and monitor flooding events.
Existing models for flood forecasting are coventional and simple.
Weather forecasting remains uncertain due to lack of precise data.
Absence of computational and analytic tools to predict an event of flood.
Lack of any relevat flood warning and notification system.
The available flood warning systems are conventional and slow resulting delay in arrival of informations.
Can be easily clamped to any pole, walls, in critical regions of the city like dams, canals, streets etc.
Visualize real-time data on water levels, GPS location etc. captured by the sensors.
The data is analyzed continuously and people are warned of the risks for flooding.
Sump and Penstock Waterlevel, Pump On/Off, Rainfall, Hooter.
Open and Gated Canal-level Sensors.
Accurate forecasts increasing flood warning time.
Flood prediction will help authorities evacuate people and property away from downstream in time.
Vehicle tracking system through GPS will guide motorists the easy routes to dodge flood and traffic on streets.
The real-time information of rainfall and water level can be disseminated through large screen displays located in strategic areas, mobile apps, websites etc.