VERIPILL:ML BASED COUNTERFEIT MEDICINE PREDICTION

Abstract: Counterfeit medicines pose a major health risk in World, where visually identical fake drugs often reach consumers without detection. VeriPill is an ML-based platform designed to help users verify medicine authenticity through image analysis. The system combines Convolutional Neural Networks (CNN), Optical Character Recognition (OCR), and dataset validation to examine packaging features and extracted label details, identifying tampering and inconsistencies that indicate counterfeit products. Alongside verification, VeriPill offers a symptom-based medicine guide and a nearby pharmacy locator for added usability. Built using Python, Django, and OpenCV, the platform provides fast and accessible drug authentication, supporting safer medicine use and strengthening trust in the pharmaceutical ecosystem.

Keywords: counterfeit detection, CNN, OCR, computer vision, medicine authentication, AI in healthcare.