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MedScribe — Offline-first prescription & lab report digitizer. Converts photos of handwritten/printed medical records into structured, queryable data using local OCR (Tesseract) and a local SLM (Ollama, qwen2.5:1.5b) — no cloud APIs, fully CPU-only, works air-gapped. Built for the CPU-First Hackathon ("Local AI").

MedRepo is an offline, CPU-first AI application designed to convert medical Complete Blood Count (CBC) reports from PDFs or images into clean, structured JSON. The project prioritizes patient privacy by processing all data locally without requiring an internet connection or cloud services. It combines OCR and lightweight local language models to accurately extract and organize medical information for further analysis or integration with healthcare applications. Built with a modular architecture, MedRepo is easy to set up, extend, and maintain. The project aims to make medical report digitization faster, more secure, and accessible on low-resource devices while supporting future enhancements and broader diagnostic report formats.