A Blockchain and Artificial Intelligence based System for Halal Food Traceability

TL;DR

This paper proposes a blockchain and AI-based system to enhance halal food traceability, ensuring product authenticity and building consumer trust through immutable records and pattern recognition, tested successfully in a real-world supermarket setting.

Contribution

It introduces a novel integrated blockchain and AI system for halal food traceability, addressing authenticity concerns and demonstrating practical effectiveness.

Findings

System effectively verified halal product authenticity

Test results showed high accuracy in traceability

Stakeholders expressed interest in real-world deployment

Abstract

The demand of the halal food products is increasing rapidly around the world. The consumption of halal food product is just not among the Muslims but also among non-Muslims, due to the purity of the halal food products. However, there are several challenges that are faced by the halal food consumers. The challenges raise a doubt among the halal food consumers about the authenticity of the product being halal. Therefore, a solution that can address these issues and can establish trust between consumers and producers. Blockchain technology can provide a distributed ledger of an immutable record of the information. Artificial intelligence supports developing a solution for pattern identification. The proposed research utilizes blockchain an artificial intelligence-based system for developing a system that ensure the authenticity of the halal food products by providing the traceability related to all the operations and processes of the supply chain and sourcing the raw material. The proposed system has been tested with a local supermarket. The results and tests of the developed solution seemed effective and the testers expressed interest in real-world implementation of the proposed system.