Evaluating Machine Learning Algorithms for Environmental Impact Prediction

The Environmental Impact Tracker (EIT) is an innovative application that is designed in such a way that it can monitor and visualize the data both for individuals and organizations. Its main objective is to guide the users about their day-to-day life activities by tracking the past habits that are creating an impact on the environment. The EIT is an efficient application that uses advanced machine learning algorithms such as SVMs, Random Forest Regression, and various classification techniques to analyze and interpret the data. It is found that data SVM performed well and got the accuracy 94.10 %. EIT helps the users proactively organize their behavior to minimize the negative impact on the environment. The EIT is a technological innovation that can be harnessed to promote sustainability and environmental impacts.