AI-Generated Voice / Deepfake Fraud Evidence Triage
University of Guelph (Digital Forensics course, MSc program) · 2026
A course final project building a triage application for suspected AI-generated (deepfake) audio and video evidence, exploring how investigators could systematically assess such evidence rather than relying on ad hoc review. The application performs SHA-256 hashing to preserve evidence integrity, extracts metadata, applies rule-based triage to identify indicators warranting further investigation, and produces structured forensic findings.
Tools: SHA-256 hashing, metadata extraction
Skills demonstrated: digital forensics, evidence integrity verification, deepfake/synthetic-media triage, rule-based investigative tooling, structured forensic reporting
Outcome: Final grade: 95/100 (Digital Forensics course capstone project).