As a wildfire monitoring platform, it also attempts to provide (1) real-time mitigation strategies and (2) prediction capabilities by collecting data from various sources (via remote sensing, crowdsourcing, and integration with locally-embedded sensors and cameras).

To provide real-time mitigation, we provide services that allow users to locate the nearest hospitals and the nearest path in order to get there.

We also provide a visualization of the wildfire's intensity and aggregate local weather and satellite data to provide assistance to the forestry and fire protection teams on how the wildfire can be efficiently extinguished to minimize costs, damage and reduce resource waste.

Other than local weather conditions, we also look for electrical grids within the forests' proximity and the current soil moisture data to be able to perform predictions on how likely a wildfire can strike and provide potential damage and impact assessments.

We also offer a way for users to:

• integrate locally-embedded sensors to improve the data and reduce the noise
• automatically send and run snapshots from surveillance cameras at a given interval to keep track of potential man-made factors (e.g. car accidents/explosions near the forest).