T5-Medico Chatbot is a lightweight, fine-tuned T5-small model designed to perform drug recommendation based on input symptoms, optimized using LoRA (Low-Rank Adaptation) for efficient training on limited compute (Google Colab).
It is trained on a structured subset of the MIMIC-IV dataset, containing symptom-diagnosis-drug mappings, and intended for educational and prototyping use only.
🎯 Use Case
The model converts a natural language list of symptoms into a potential drug recommendation using medical knowledge extracted from the dataset.
