Financial institutions process millions of bank statements annually, with manual data entry costing $15-20 per document and taking 30+ minutes each. Error rates in manual processing averaged 5-7%, leading to compliance risks and customer dissatisfaction.

Develop a scalable, AI-powered solution to automate bank statement data extraction, targeting 95% accuracy while reducing processing time and costs by 80%.

• Designed microservices architecture using Next.js 14 and FastAPI, supporting 100+ concurrent users
• Implemented custom OCR pipeline with advanced pre-processing for poor quality documents
• Integrated OpenAI GPT-4 for intelligent data extraction and validation
• Developed robust error handling and validation system with 50+ business rules
• Created intuitive UI with real-time processing feedback and error correction
• Established automated testing pipeline with 90% code coverage
• Implemented secure document handling compliant with financial regulations

Achieved 95.5% accuracy in automated data extraction across 10,000+ test documentsReduced processing time from 30+ minutes to 2 minutes per documentDecreased processing cost from $15-20 to $2 per documentScaled to handle 10,000+ documents daily with 99.9% uptimeEliminated manual data entry for 80% of standard documentsReduced error rate to less than 1% through AI validation