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ReportRaahat Medical Simplifier

Fine-tuned google/flan-t5-small on EkaCare's Indian clinical note generation dataset.

Task: Takes a raw medical finding (test name, value, status) and outputs a layman Hindi or English explanation a patient can understand.

Usage

from transformers import pipeline
pipe = pipeline('text2text-generation', model='CaffeinatedCoding/reportraahat-simplifier')
result = pipe('simplify medical finding: Hemoglobin 9.2 g/dL LOW')
print(result[0]['generated_text'])

Part of ReportRaahat

Built for HackerzStreet 4.0 @ Manipal University Jaipur. Paired with a FAISS RAG layer over NidaanKosha 100K Indian lab readings.

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Dataset used to train CaffeinatedCoding/reportraahat-simplifier