AvAI Avalanche Risk Predictor

AvAI is an exploratory model embedding the outputs of the pre-trained snowGAN and coreDiff models with weather timeseries data to analyze mini-cored data to predict the day's avalanche risk within the region using a multi-modal transformer architecture. The tool is still undergoing training and is expected to be released alongside a paper detailing the project once we are able to break past the current accuracy of avalanche risk prediction models of 86%, aspiring too 99% accuracy given the dangerous outcomes of inaccurate predictions.