Implemented DocuVision AI, an enterprise AI platform automating document ingestion, data extraction, classification, and validation for legal and financial firms. Utilizes deep learning vision models and NLP for unstructured data processing, supporting multiple document formats and languages. Integrates with client workflows to trigger automated decision-making and reporting, resulting in a 65% reduction in processing time and significant error mitigation.
Technologies: Python, PyTorch, OpenCV, Tesseract OCR, AWS Lambda, Docker
Automate extraction of data from scanned invoices and legal docs
Classify and organize files into relevant categories
Reduce manual entry and errors
Connect to accounting software
Built AI pipeline using Tesseract OCR + TensorFlow for text extraction
Added classification models using NLP
Created web-based review interface for human validation
Connected output to QuickBooks and SAP
Configured alert system for low-confidence documents
Reduced manual processing time by 65%
95%+ accuracy for structured documents
Over 200 hours/month saved in document handling
ROI achieved within first 4 months