matthias
7678d28717
Self-hosted, verifiable pipeline for extracting structured data (station, date/time, price per litre, litres, discount, total) from German fuel receipt photos: grayscale + mild bilateral filter + contrast stretch, Tesseract OCR, then LLM structuring via a small local model (Qwen 2.5, served by Ollama). Each step is independently runnable and inspectable through numbered scripts against a shared tooling container. Ollama runs as its own long-lived container (0_run_ollama.sh), separate from the stateless per-receipt pipeline steps, so the model stays loaded in memory between runs. Includes a containerized ground-truth batch test (test_batch.sh) that reproduces the full pipeline over the test receipts and reports per-field accuracy. Targets eventual deployment on a Raspberry Pi 4 k3s cluster.
gastronomy
Extracting and organising fuel data from fuel receipts.