The abstract provides an overview of our project, which focuses on utilizing machine learning techniques to detect cybercrime. Strong techniques for recognising and reducing these risks are essential as cyber threats keep evolving. Our project uses cutting-edge machine learning algorithms to identify and categorize different kinds of cybercrime in an effort to address this challenge. An extensive analysis of the use of machine learning algorithms for cybercrime detection is presented in this paper.. Leveraging vast datasets of historical cyber incidents, machine learning models are trained to recognize patterns indicative of malicious activities. Various techniques such as supervised learning, unsupervised learning, and deep learning are explored to effectively identify anomalies and potential security threats.