Supervision Software using Artificial Intelligence

With the dependency on the internet growing immensely everyday, the newer generation is exposed to threats and risks. The aim of this paper is to supervise the activities of a supervisee using Keylogger and Screenshot analyser. Different machine learning algorithms are applied on the logged data and the screenshots which helps in classifying the data in different categories. The supervisor is alerted each time the model raises a red flag. It shows promising results in keeping the track of the user’s activities. This helps in evaluating the user’s web practices, from an innovative, lawful and moral perspective.