ARCHIVES
Medi Scan: A Secure QR Code Based Medicine Information Retrieval System Using Python and Deep Learning for Enhanced Patient Safety
¹ ² ³ UG Scholar, Department of Computer Science and Engineering, Periyar Maniammai Institute of Science and Technology Thanjavur, Tamil Nadu, India. ⁴ Assistant Professor, Department of Computer Science and Engineering, Periyar Maniammai Institute of Science and Technology, Thanjavur, Tamil Nadu, India.
Published Online: January-April 2026
Pages: 469-477
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501053
Medi Scan is a safe and reliable AI-based solution that helps authenticate medicines as well as gives drug details. Medi Scan scans QR code and applies Optical Character Recognition (OCR) technology to get the relevant data of medicines packed on it. It cross-verifies the collected data with the cloud-based database to make sure the data is correct. Machine learning technology is implemented in this system to detect fake QR codes. Drug details, such as dosage, expiration period, manufacturers, and side effects of medicines are available through this system. Data encryption is ensured by AES-256 technology
Related Articles
2026
Artificial Intelligence in Learning and Teaching
2026
Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application
2026
Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach
2026
Eco-Genius: Power Up Smart, Power Down Waste
2026
Crowd-Sourced Disaster Response and Rescue Assistant
2026
Unveiling Deepfake Detection Using Vision Transformers: A Survey and Experimental Study
2026
A Novel Stateful Orchestration Pattern for Data Affinity and Transactional Integrity in Sharded Backend Architectures
2026
Legal Challenges of Agentic AI Systems in Education and Employment Decision-Making
2026
New-Hybrid Soft Computing Model for Stock Market Predictions
2026
Human Emotion Distribution Learning from Face Images Using CNN
