Genesis Releases Wildfire Defence Solutions AI Tool

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Kelowna, British Columbia--(Newsfile Corp. - June 10, 2024) - Genesis AI Corp. (CSE: AIG) (OTCQB: AIGFF) (the "Company") is pleased to announce the release of their wildfire tool, Wildfire Defence Solutions, using a custom GPT and machine learning.

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Wildfire Defence Solutions is the first release of a developing suite of the highest quality software that cities, towns, resorts, developers and governments can use to defend against wildfire. It helps to estimate the cost of building a resilient community by classifying fuel types, mapping critical infrastructure, and creating treatment units in order of importance.

The best way to fight fires is to prepare communities at risk to do the work required to remove ground and ladders fuels from adjacent forests and grasslands. Much progress has been made in fighting fires and early detection; this software seeks to address critical prevention works needed to lower the impact and financial cost of fires. CNN estimates the cost of wildfires to be between $87.4 and $427.8 billion per year in the US alone (Wildfires are dealing a massive blow to US real estate and homeownership, congressional report finds | CNN).

The software automates Community Wildfire Protection Plans, which are typically paper documents that are only updated every 3 - 5 years. "Instead of relying on a passive PDF report, communities will now be able to see real time information updating a detailed report that outlines the risk of wildfire, the probable path the wildfire will take, and the cost to perform "FireSmart" protection techniques to build resilience against wildfire," says project director Brent Tolmie.

The software pulls from many available public sources including historical fires, weather data, land ownership analysis, fuel types, and fire treatment analysis. Clients can select high, medium and low-resolution services based on their risk. The lowest resolution utilizes a free version of the Copernicus Sentinel-2 high resolution multi-spectral images of the earth, layering in that information as a viewable vegetation model that outlines risk. Other versions utilize paid satellite imagery of a higher resolution or drone-based LiDAR for the most accurate modelling.

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Communities can measure the efficacy of their works once completed, with satellite data showing if/when fuel treatments have been effective and what work is left to create a truly "FireSmart" community.