MediScan AI: A Computer Vision and Deep Learning-Based Application
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Abstract
This project presents a deep learning-based pill recognition system that uses Convolutional Neural Networks (CNNs) to identify pharmaceutical pills from images with over 90% accuracy. A Streamlit-powered web application operationalizes this model, enabling users, including pharmacists, patients, and supply chain professionals to verify pills in real time using uploaded images.