Real-Time IOT Driven Multimodal Proctoring for Fraud-Free Offline Assessments

The Offline Proctoring System using IoT Technology is designed to ensure secure and malpractice-free examinations without relying completely on online proctoring methods. This system uses RFID tags for student authentication and proper seating arrangement, where candidate details and seat information are displayed on an LCD screen, eliminating impersonation. After entry into the examination hall, an IoT-based camera module continuously monitors candidates to detect face spoofing, suspicious movements, head turns, and the usage of mobile phones or unauthorized devices using the YOLO algorithm. Additionally, an I2C MEMS microphone is used to monitor abnormal sound levels such as murmuring or verbal communication by setting a predefined threshold. All the captured data, including RFID information, visual monitoring records, and audio alerts, are securely stored in the cloud for further verification and analysis. By integrating multiple IoT components, the proposed system minimizes human intervention, prevents examination scams, and provides a reliable and efficient offline proctoring solution.