Secure Exam Analytics uses real-time data to identify suspicious candidates. Analyzing candidate behavior, similar answering pattern, hardware & system irregularities, it clusters similar cases & sends instant SMS/WhatsApp alerts for quick action.

• BYOD (Bring Your Own Device) Exams: Students can use their own devices for exams, the system identifies hardware inconsistencies. If a student's device suddenly changes its MAC address or other identifying information during the exam, it could indicate an attempt to use unauthorized software or devices, triggering an alert.
• Large-Scale Standardized Testing: In high-stakes standardized tests with ten thousands of candidates, the system analyzes system logs and hardware data in real-time. If any anomaly found, it will be triggered.
• Secure Online Exam: During online exam for job openings, the system detects unusual similarities in answer patterns across multiple candidates. If two or more candidates submit identical or highly similar answers, it could indicate similarity, triggering further investigation.
• Anomaly detection : the system analyzes answer submission times and patterns. Unusually fast and accurate answers on difficult questions, or similar answer patterns across candidates, trigger reviews for potential cheating.

• Real-Time Monitoring: Tracks unusual candidate behavior, system activity, and hardware anomalies during exams.
• Instant Alerts: Sends real-time notifications via SMS or WhatsApp for any detected suspicious activity.
• In-Depth Analytics: Delivers detailed insights on student performance, answer patterns, and exam metrics.
• Suspicious Activity Clustering: Detects and groups potential cheaters based on behavior and system irregularities.
• Nationwide Exam Insights: Provides actionable insights for efficient management of large-scale exams.
• Customizable Reporting: Creates detailed, secure reports for administrators to review and act upon.
• Scalable Solution: Designed to handle exams of any size, from small setups to large-scale operations.

• Processing – Elk Stack, Pyspark and Bigdata Technology
• Analytics – Statistics, ML/DL Models
• Front End – Angular, NodeJs
• Data Storage - MongoDB,PostgreSQL
• Gateway - Whatsapp API & SMS API

Solaimurugan V

solaimuruganv@cdac.in