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

Year: 2025

Type: article

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.

Source: Maryland Shared Open Access Repository (USMAI Consortium)

DOI: 10.13016/m2fevf-a5kk

Authors: Chaudhari, Somita, Brown, Tiffany

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7125506174

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