Traditional methods of exam cheating detection, such as invigilators or surveillance cameras, are manual, subjective, and prone to human error. These methods fail to address the evolving tactics by students to cheat. A-Eye is the solution that bridges this gap. In a world where academic integrity is paramount, A-Eye presents a groundbreaking solution to tackle the persistent problem of exam cheating. By leveraging advanced abnormal behavior detection technology, A-Eye ensures a level playing field for all students, fostering fairness and promoting a genuine learning environment

Bangkit ID	Name	Learning Path	Profile
M082DSX0512	Muhammad Ihsan Shiddiq	Machine Learning
M312DKY4649	Narinda Genta Rosasia	Machine Learning
C042DSX3344	Huda Putra Santosa	Cloud Computing
C346DKX4099	Reinaldi Abdillah	Cloud Computing
A082DKX4415	Alif Zaky Cakramusi Putra	Mobile Development
A062DKX4029	Agung Reza Vergiawan	Mobile Development