MediScan AI: A Computer Vision and Deep Learning-Based Application

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.