AI Assessment Processing Digital Worker

Core Logic

Central coordinator that manages the complete workflow and delegates tasks to specialized agents. Creates orchestration plans with dependency mapping, tracks stage completion, handles inter-agent message routing, and aggregates final results. Coordinates 10 agents through a 10-stage execution pipeline.

Core Logic

Verifies candidate identity using facial recognition and document analysis. Compares live photos against ID documents, validates document authenticity, performs biometric analysis, and detects fraud indicators. Outputs verification scores, confidence levels, and detailed flags for suspicious patterns.

Core Logic

Monitors exam sessions for integrity violations using computer vision and behavioral analysis. Detects multiple faces, gaze aversion, suspicious audio, tab switches, copy-paste attempts, and screen capture. Calculates overall risk scores, attention scores, and face detection rates. Generates timestamped proctoring events with severity classifications.

Core Logic

Scores all assessment responses using advanced NLP for essays and pattern matching for objective questions. Evaluates essay relevance, coherence, argument strength, and evidence quality. Generates detailed feedback with suggested improvements, identifies key points covered and missed, and assigns Bloom's taxonomy levels. Provides AI confidence scores to flag items needing human review.

Core Logic

Generates performance insights using statistical methods including percentile calculations, trend analysis, and comparative benchmarking. Identifies strength areas and improvement opportunities, determines performance levels (beginner to expert), and creates skill radar visualizations comparing candidate scores to industry averages and top performers.

Core Logic

Ensures regulatory compliance by validating against configured standards (GDPR, Section 508, WCAG, industry-specific requirements). Performs policy enforcement, generates comprehensive integrity reports combining identity, proctoring, and behavioral flags, and maintains complete audit logs. Calculates risk scores and determines if human review is required.

Core Logic

Issues verifiable digital credentials backed by blockchain technology. Generates unique certificate IDs, creates blockchain hashes for immutable verification, applies digital signatures, and generates QR codes linking to verification portals. Supports automatic expiration tracking and renewal workflows.

Core Logic

Uses IRT (Item Response Theory) algorithms to dynamically estimate candidate ability and select optimal questions. Implements 1PL, 2PL, and 3PL models to calculate discrimination and difficulty parameters. Tracks convergence status, generates learning curve visualizations, and recommends next items based on expected information gain. Provides precise ability estimates with standard error bounds.

Core Logic

Performs ML-powered anomaly detection and fraud prediction using multiple detection methods: Isolation Forest for outlier detection, Z-score analysis for statistical anomalies, Mahalanobis distance for multivariate patterns, and Autoencoders for complex behavioral modeling. Predicts dropout risk, fraud probability, and gaming behavior. Generates risk factor breakdowns with trend analysis and recommends preventive actions.

Core Logic

Coordinates Human-in-the-Loop oversight by managing escalation workflows for low-confidence AI decisions, edge cases, policy violations, fraud suspicions, quality checks, and candidate appeals. Routes cases to appropriate reviewers, tracks SLA compliance, collects resolution feedback, and processes human overrides back into the system. Maintains quality assurance metrics and escalation chain history.