Business challenge
- Image/PDF documents are hard to search
- Manual text entry takes time
- Users need organized upload history
Case Study
OCR Document Portal
Document upload and OCR system for extracting text from PDF and images.
PythonDjangoTesseract OCRBootstrap
What was built
- Built OCR upload flow
- Stored extracted text and history
- Prepared user-based access and clean Bootstrap UI
Key functionality
- Upload PDF/image files
- Tesseract OCR extraction
- Upload history
- User-based access
Architecture Thinking
How I would build this production-ready
The production version should include authentication, role-based access, environment-based configuration, audit logs, database backups, CI/CD pipeline, and deployment monitoring. For AI-enabled projects, I would add document parsing, chunking, embeddings, vector search, prompt templates, and guardrails around user access.
LessManual work
BetterWorkflow visibility
ReadyFor cloud deployment