# Azmuth

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Aditya Goel](https://cerebralvalley.ai/u/wpsadi)
- **GitHub:** https://github.com/adi-heizen/ocr
- **Demo video:** https://youtu.be/JR3FAP4nQ7I
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2729

We built an AI-powered document extraction and verification system designed for Indian finance and vendor management workflows.

Businesses receive invoices, receipts, contracts, identity documents and financial statements in PDFs, scans and photographs. Traditional OCR frequently misreads critical identifiers such as GSTINs, PANs and monetary amounts, while relying solely on LLMs introduces hallucination risks.

Our solution combines deterministic OCR with multimodal AI and rule-based verification.

How it works:

Text extraction: Digitally generated PDFs are read directly, while scanned documents and images are processed using Tesseract OCR.

AI-powered extraction: A multimodal model receives the original document image alongside OCR output. It uses visual layout understanding while extracting exact values from the OCR text.

Deterministic verification: Every extracted value is checked against OCR output. GSTIN check characters are validated, and financial relationships are reconciled, including line items, taxable amounts, GST totals, amount-in-words consistency and bank running balances.

The system generates a verification report explaining which checks passed or failed, allowing unreliable documents to be flagged for human review before entering financial systems.

It is designed specifically for Indian business documents, supporting GSTIN, PAN, HSN/SAC, CGST/SGST/IGST, Indian date formats and currency conventions.

## More from Meta Global AI Developer Hackathon

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- [wetoyo](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2732)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2729. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt