I’m a Senior Full Stack & Web Developer with 9+ years of experience designing and delivering SEO-optimized, user-friendly websites and web applications. I specialize in building responsive, high-performance platforms that improve user engagement and search engine rankings. I enjoy taking ownership of projects from planning through deployment and strive to deliver measurable business impact on time.
I focus on combining solid frontend UX with robust backend architecture, CMS integration, and workflow automation to create scalable solutions. I thrive in collaborative environments with product managers, designers, and marketing teams, and I continuously pursue performance improvements, accessibility, and SEO best practices.
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- Document Upload: Support for PDF and DOCX files
- AI Extraction: OCR + Ollama LLM for intelligent data extraction
- Database Storage: SQLite database for storing extracted data
- Real-time Processing: Quick document processing with immediate UI updates
- Data Editing: Edit extracted invoice data before saving
- Invoice Comparison: Compare two invoices side-by-side
- Clean UI: User-friendly interface built with React/Next.js and Tailwind CSS
OVERVIEW
This application provides AI-powered invoice extraction capabilities using OCR and local Ollama models. Users can upload PDF or DOCX invoices, extract structured data, edit metadata, and compare different invoices.
FEATURES
ARCHITECTURE
Frontend: React/Next.js (port 3000)
Backend: Flask (port 5000)
Database: SQLite (invoices.db)
AI: PyTesseract OCR + Ollama LLM (local)
This application provides a solid foundation for invoice processing that can be scaled to enterprise-level requirements with the strategies outlined above.
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