The Usage and Benefits of Jetson Nano for Deployment of Machine Learning Algorithms for Water Potability Prediction

Abstract

This study analyses the benefits of NVIDIA Jetson Nano in deploying machine learning algorithms to forecast water potability. Jetson Nano will be a compact and cost-effective edge water potability analysis solution due to its powerful Graphics Processing Unit (GPU) and energy-saving architecture. Jetson Nano can handle sophisticated prediction models and improve water assessment in remote and urban settings, according to this study. Jetson Nano performs well in real-time data processing and machine learning conclusions with reduced latency by integrating sensors with data gathering systems. This study shows how Jetson Nano improves water potability prediction accuracy and reliability by reviewing case studies and testing findings. This report highlights edge AI systems' reduced cloud infrastructure dependence, cheaper operational costs, and fast response. Overall, this research shows that Jetson Nano can improve water potability monitoring and help introduce intelligent edge computing in environmental and public health.