Educational institutions worldwide are employing various exam proctoring tools and solutions to minimize the risk of cheating. This paper proposes an integrated solution for detecting and preventing cheating in online exams using artificial intelligence. Our approach combines multiple technical methods to monitor candidates before, during, and after the exam. Before the exam, identity verification is conducted through an authentication system to ensure the examinee's identity. Once authenticated, the system performs facial recognition and other verification checks. AI-powered monitoring analyzes video recordings during the exam and tracks eye movement, head position, and mouth activity to detect suspicious behavior. After the exam, the system uses data from the examinee's coursework scores to predict and compare the current exam results, aiding in post-exam analysis. This comprehensive solution aims to enhance cheating detection and prevention mechanisms in the School of Computer Science at Duy Tan University, Vietnam.