Building a data oriented product to identify rash driving patterns by uisng high frequency Telemetry data, and provide early warnings in order to reduce fatalities caused due to road accidents
ML It consists of the final model we have shortlisted after comparing the performance of several models(mainly XGBoost,ConvNets /Lstms) on the benchmark datasets
Android It consists of the deployment of the model via TF-Lite(under progress)
for information regarding the various trials/approaches we performed visit driver analysis