Development Of Machine Learning Model to Predict the Battery Lifespan Using IoT

Abstract

In recent times, the usage of batteries has increased greatly due to technological advancements. Batteries have become key components of our everyday life. Since some types of batteries can be recharged and reused multiple times, they find applications in a variety of sectors including health instruments, logistics and construction, firefighting and emergency, daily household applications, and military to name a few. This has led to high demand and higher capacity requirements of the batteries but also extended battery life, lower risks, and smaller size. Using our project - Development of Machine Learning Model to Predict the Battery Lifespan using IoT, we aim to predict the battery life by using data collected from various sensors by means of a machine learning model. Since we are dealing with large data, we upload the collected data to the cloud from which the data can be accessed for our machine learning model.