Blockchain-Based Traceability System with AI-Driven Authentication for Ayurvedic Herbs

This paper presents a blockchain-based traceability system for Ayurvedic herbs integrated with an AI-driven authentication mechanism. The system aims to address issues such as adulteration, lack of transparency, and data tampering in the herbal supply chain. A Convolutional Neural Network (CNN) model is used to analyze herb images and classify them as real or fake, ensuring authenticity at the source. The verified data is securely stored in a blockchain structure, providing immutability and traceability. Additionally, QR codes are generated for each record, enabling users to perform real-time verification through a web interface. Geo-location tracking and dashboard analytics further enhance visibility and monitoring. The proposed system improves trust, ensures data integrity, and supports safe usage of Ayurvedic products.