Intelligent Document Forgery & Deepfake Detection Platform built for healthcare claims fraud prevention under AB PM-JAY Auto Adjudication Hackathon. Designed as an enterprise-grade forensic intelligence system for real-world deployment and scalable fraud governance.
Prevent healthcare fraud by detecting forged, manipulated, AI-generated, and tampered medical documents before claim approval.
Build India’s most trusted forensic AI platform for secure, transparent, and fraud-proof healthcare claim verification.
Reduce fraudulent claims, improve trust, protect public funds, and strengthen healthcare governance.
PDFs, scanned reports, discharge summaries, prescriptions, lab reports, radiology scans, and claim attachments enter through secure forensic intake.
Forgery detection, deepfake identification, duplicate report matching, and metadata verification are executed automatically.
Bounding boxes, suspicious region highlighting, overwritten text detection, and visual region inspection.
Evidence traceability, fraud reasoning, confidence scoring, and tampering explanation at page-level precision.
Approve, reject, conditional review, escalation recommendations, and secure audit reporting.
Text extraction, overwritten content detection, and hidden content verification using OCR + layout analysis.
Forgery localization, suspicious region detection, and watermark removal analysis.
Detection of fully AI-generated documents and partially AI-edited reports.
Metadata consistency check, semantic anomaly detection, and structure validation.
Font consistency, source authenticity, and cross-claim document fingerprinting.
Trust score generation, fraud probability, severity classification, and reviewer prioritization.
Claims and medical reports uploaded into secure forensic intake system.
Noise cleanup, OCR extraction, metadata parsing, and page segmentation.
Signature forgery, stamp manipulation, overwritten text, and merged file detection.
Duplicate report identification and provider fraud pattern matching.
Final decision with explainable audit trail and forensic report generation.
Unique forensic fingerprint generation for every uploaded healthcare document.
Identify duplicate and reused reports across hospitals and multiple claims.
Every fraud decision includes reason tracing and confidence justification.
Not just a prototype — a scalable healthcare fraud prevention platform designed for production-grade adoption across hospitals, insurers, and public healthcare systems.
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