INVOICE AISMART INVOICE MANAGER
// PROJECT OVERVIEW
An AI-powered invoice processing system that extracts structured data from messy handwritten and scanned PDF invoices. OCR handles poor-quality scans and varied handwriting styles. AI identifies and extracts key fields (vendor, date, line items, amounts, tax) from unstructured documents without requiring templates — each vendor can have a completely different layout. Smart categorization learns from corrections over time. Validation catches duplicates, discrepancies between line items and totals, and missing fields. React dashboard for human review and approval with batch processing.
// KEY FEATURES
OCR extraction from handwritten notes and poor-quality scanned PDFs
Template-free AI extraction — adapts to any vendor format automatically
Smart categorization that learns and improves from corrections
Validation catches duplicates, discrepancies, and missing fields
Working with Zeeshan on the invoicing AI project was a highly collaborative and innovative experience. Zeeshan brought a deep understanding of AI model development and integration, while I focused on aligning the solution with real-world invoicing workflows and compliance requirements.
// METRICS
// TECH STACK
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