Real-Time Fire Hotspot Predictive AI

I am seeking a highly skilled AI engineer to develop a real-time predictive AI system for 7-day forecasting of MODIS Fire Hotspots. The output should present in CSV that include at least date, lat, lon, Given the lack of preference for any specific platform, an ideal candidate should have versatility in implementing AI algorithms on various platforms such as desktop computers, mobile devices and web browsers. The Learning data set: - MODIS csv daily fire hotspots over southeast asia since the year 2000 - MODIS NetCDF monthly burn scars over southeast asia since the year 2000 -ERA5 NetCDF daily meteorology included precipitation, maximum temperature, minimum temperature, relative humidity, plenary boundary layer hight, wind speed and direction. Key Project Requirement: - Real-time data processing: The AI system should be capable of predicting fire hotspot trends (date, Lon, Lat) in real-time, processing large amounts of MODIS data swiftly and accurately. Applicant's Profile: - Experience: Ideally, the freelancer should have prior experience in working with predictive AI models, preferably in environmental, geospatial or disaster management contexts. In your application, please highlight your relevant experience and explain how your expertise would benefit this project's real-time processing requirements. Your proven track-record and expertise in similar projects will be a considerable advantage.