🎉 Release v1.0.0

🎉 Release v1.0.0

Clinical Document Intelligence Pipeline (CDIP) — Automate healthcare document processing.

✨ What's New

Core Features:

• Automated Document Processing — Upload PDFs and automatically classify, extract, and match documents to patients
• Intelligent Classification — Rule-based classification for prescriptions, lab reports, and clinical notes
• Smart Patient Matching — Automatic matching using health card numbers and fuzzy name/DOB matching
• Real-Time Monitoring — Live metrics dashboard with WebSocket updates for queue status, processing times, and system health

Production Performance:

• ✅ 100% Success Rate — All requests processed successfully under load
• ✅ Fast Response Times — Average 105ms API response time, P95 at 122ms
• ✅ High Concurrency — Handles 200+ concurrent users with excellent reliability
• ✅ Low Latency — Maximum event loop lag of 3.16ms, ensuring responsive operations
• ✅ Scalable Architecture — Queue-based processing with multi-worker support for high throughput

Architecture:

• Scalable queue-based processing with BullMQ and Redis
• Stateless NestJS API backend
• Object storage integration (MinIO/S3-compatible)
• MongoDB Atlas for metadata and patient records
• Multi-worker support for high-throughput processing

📚 Documentation

Full documentation available in the README, including API endpoints, configuration, and troubleshooting.

🔮 What's Next

Version 2.0 will include a modern web UI, enhanced workflows, and advanced features.

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Full Changelog: See commit history for detailed changes. https://github.com/ankurrokad/document-classifier/commits/v1.0.0

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@ankurrokad