Authentication has consistently been the biggest difficulty during exams. Verifying candidates' test eligibility is a difficult process that takes time after typical candidate screening. The project's goal is to combat this by preventing impersonation by exploiting the candidate's facial biometric traits, which are recognized by the DCNN algorithm. The Exam Hall Authentication System Using Face Biometric is a cutting-edge solution designed to enhance the security and integrity of examination halls by utilizing facial recognition technology. Traditional methods of verifying the identity of individuals in exam halls, such as ID card checks or manual supervision, can be prone to human errors and fraudulent activities. This system aims to overcome these challenges by leveraging the unique characteristics of an individual's face for authentication purposes. The enrolment stage and the verification of identities phase are the system's two primary parts. Each exam participant's face characteristics are photographed and safely saved in a database throughout the enrolment step. High-resolution cameras are used in this procedure to take several pictures of the participant's face from differe
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