(Medguardai) AI + Blockchain Based Fake Medicine Detection System

The increasing circulation of counterfeit and unsafe medicines poses a serious threat to public health worldwide. Traditional verification methods such as manual checks and barcode validation often fail to provide real-time and reliable authentication to end users. This paper presents MedGuardAI, an intelligent medicine verification system that combines image-based scanning, QR code validation, artificial intelligence, and trusted data sources to ensure medicine authenticity and patient safety. The proposed system allows users to scan medicine packaging or upload images through a mobile application to verify authenticity, view confidence scores, and receive safety-related information. Additionally, the system supports disease-based medicine search to assist users with preliminary guidance while emphasizing medical consultation. Experimental evaluation and application results demonstrate that MedGuardAI offers an effective, user-friendly, and scalable solution for counterfeit drug detection and medicine awareness.

Counterfeit Medicine Detection, Artificial Intelligence, QR Code Verification, Healthcare Security, Mobile Application.

1. Poornima S., Ranjit T. N., Sanjith Sivendra K., Vasan S., and Kawin K. S., “Med Verify: A Blockchain-Based Medicine Verification System for Counterfeit Drug Detection,” 2025. [Google Scholar] [Crossref]

2. G. Pranitha, “Fake Drug Detection using QR Codes and Consensus Based Blockchain,” 2024. [Google Scholar] [Crossref]

3. Mrudula S. G. et al., “Blockchain-based Approach for Securing Drug Supply Chain,” 2023. [Google Scholar] [Crossref]

4. Prashant S. et al., “Blockchain and ML Framework to Prevent Drug Counterfeiting,” 2023. [Google Scholar] [Crossref]

5. Nikita Panchal et al., “BlockMed: Blockchain for Drug Supply Chain Integrity,” 2022. [Google Scholar] [Crossref]

6. V. Mani et al., “Cloud-Based Blockchain Technology to Identify Counterfeits,” 2022. [Google Scholar] [Crossref]

7. Pharma Chain: Blockchain-Based Drug Supply Chain Provenance Verification System Heliyon Research Team Heliyon, vol. 9, issue 7, e17957 | July 2023. [Google Scholar] [Crossref]

8. Securing Drug Distribution Systems from Tampering Using Blockchain M. Humayun, N. Z. Jhanjhi, M. Niazi, F. Amsaad, I. Masood Electronics, vol. 11, no. 8, p. 1195 | 2022 | DOI: 10.3390/electronics11081195 [Google Scholar] [Crossref]

9. Cloud-based Blockchain Technology to Identify Counterfeits V. Mani, M. Prakash, W. C. Lai Journal of Cloud Computing, vol. 11, art. no. 67 | 2022 | DOI: 10.1186/s13677-022-00341-2 [Google Scholar] [Crossref]

10. A Blockchain and Machine Learning-Based Drug Supply Chain Management and Recommendation System for Smart Pharmaceutical Industry K. Abbas, M. Afaq, T. A. Khan, W.-C. Song PRMCEAM 16 MedGaurdAi Electronics, vol. 9, no. 5, p. 852 | (Published around 2020 based on volume info) | DOI: 10.3390/electronics9050852 [Google Scholar] [Crossref]

11. Detecting Counterfeit Medicines B. Naughton, D. Brindley Oxford News Blog | January 27, 2017 | [Online] Available: https://www.ox.ac.uk/news/science blog/detecting-counterfeit-medicines [Google Scholar] [Crossref]

• What the Desert Fathers Teach Data Scientists: Ancient Ascetic Principles for Ethical Machine-Learning Practice
• Comparative Analysis of Some Machine Learning Algorithms for the Classification of Ransomware
• Comparative Performance Analysis of Some Priority Queue Variants in Dijkstra’s Algorithm
• Transfer Learning in Detecting E-Assessment Malpractice from a Proctored Video Recordings.
• Dual-Modal Detection of Parkinson’s Disease: A Clinical Framework and Deep Learning Approach Using NeuroParkNet