This paper presents an approach to enhance the security and integrity of the recruitment process by integrating face recognition, biometric verification, and replacing traditional paper-based exams with computer-based assessments. The objective is to automate candidate identification, verification, and secure data handling throughout the recruitment process. Traditional systems face challenges in maintaining accurate candidate records, such as application forms and supporting documents. Paper-based exams also present several key issues, including errors in manual grading, logistical difficulties in handling and storing exam papers, and security risks like cheating and tampering. Additionally, manual result processing is slow, prone to human error, and can cause delays in releasing results. These existing systems are vulnerable to security risks, such as potential loss or manipulation of records and are inefficient in handling large volumes of data. To address these challenges, we propose an automated system that simplifies and optimizes the entire process, from candidate registration to result announcement. The system is designed to securely collect and manage candidate information at every stage. Furthermore, it incorporates face recognition for candidate identification and biometric verification to ensure identity confirmation throughout the recruitment process.