Ever looked at a pile of medicine bottles and wondered, "Is it actually safe to take these together?" Polypharmacy—the simultaneous use of multiple drugs—is a significant challenge in modern healthcare. Misunderstanding Drug-Drug Interactions (DDI) can lead to severe side effects or reduced efficacy.
In this tutorial, we are building an AI Pharmacist Assistant, an automated engine that uses Optical Character Recognition (OCR) to scan drug labels and Retrieval-Augmented Generation (RAG) to cross-reference a drug database. By leveraging AI healthcare automation and sophisticated LLM reasoning, we can create a safety net that identifies potential contraindications in seconds.
The Architecture 🏗️
The system follows a linear pipeline: capturing raw image data, converting it to structured text, retrieving medical facts from a local SQLite-based knowledge base, and finally, using an LLM to reason about the interactions.
graph TD
