Developers Build AI Tool Using YOLOv10 to Detect Drug Interactions and Expiry Dates

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A tutorial published on DEV Community outlines how to build an AI-powered medicine safety checker using YOLOv10 object detection, Tesseract OCR, and a local SQLite database. The system works by capturing an image of a medicine box, detecting it via YOLOv10, and using OpenCV preprocessing to improve text readability before passing it to Tesseract OCR. Extracted data such as drug name and expiration date are then cross-referenced against a pharmacopeia database to flag expired medicines or dangerous drug-to-drug interactions. YOLOv10's NMS-free architecture is highlighted as a key advantage, enabling faster inference suitable for edge devices and smartphones. The guide is aimed at developers looking to prototype a real-time, on-device medication safety tool using open-source components.

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