BillGaurd - Forensic Risk Assessment of Indian Financial Documents

BillGaurd is a calibrated cross-layer forensic risk-assessment framework specifically designed for Indian financial documents to detect document tampering, financial fraud, and synthetic invoice generation.

Unlike systems relying on a single text source or image pixels, BillGaurd simultaneously analyzes visual, structural, textual, semantic, arithmetic, regulatory, identity, and provenance information.

  • Field-Level Evidence Alignment - Identifies exactly which field (total amount, GSTIN, invoice number) is suspicious and why.
  • OCR–Native PDF Text Comparison - Extracts both visible text and embedded PDF text separately to detect hidden text layers and overwritten values.
  • Arithmetic-Consistent Tampering Detection - Validates mathematical relationships (quantity × price, tax calculations) to catch smart forgeries.
  • Missing-Modality-Aware Evidence Fusion - Dynamically adapts based on available data, using learned models (neural networks, graph-based models) to generate a calibrated risk score.
  • Indian GST-Aware Validation - Includes verification of GSTIN structure, state codes, CGST/SGST/IGST rules, and HSN/SAC classification.

Designed as a robust decision-support tool, BillGaurd produces a highly explainable and transparent report listing high-risk findings, moderate anomalies, and authenticity indicators.