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@article{194004,
        author = {J.S. SIMI MOLE CSE},
        title = {Integration of Blockchain with AI Chatbot for Drug Authenticity Verification in Pharmaceutical Supply Chains},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3412-3418},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194004},
        abstract = {The global circulation of counterfeit pharmaceuticals poses a critical threat to public health, exacerbated by weak supply chain visibility and limited mechanisms for verifying drug authenticity. This paper presents an innovative and integrated approach that combines Blockchain and Artificial Intelligence (AI) technologies to ensure transparency, traceability, and real-time verification within the pharmaceutical supply chain. The proposed system is built on the Hyperledger Fabric blockchain platform, which provides a decentralized, permissioned ledger for securely storing drug-related data, including manufacturer details, batch numbers, and transactional handovers between stakeholders such as manufacturers, distributors, and pharmacies. To improve user interaction and accessibility, the system incorporates an AI-powered chatbot using the Rasa framework. This chatbot enables patients and pharmacists to verify the authenticity of pharmaceutical products through natural language queries by inputting the drug name and batch number. Upon receiving a query, the chatbot invokes a backend API that interacts with the blockchain network via a Node.js Express server to retrieve the verification details. The system is further enhanced through Internet of Things (IoT) integration, where temperature data is collected from DHT11 sensors during drug transportation and storage. This data is relayed via Thing Speak Cloud and monitored using Azure Functions to ensure that cold chain compliance is maintained. Blockchain immutability ensures that any deviation or mishandling is traceable and accountable. The architecture includes secure identity management using Certificate Authorities and private communication channels within Hyperledger Fabric. The solution provides end-to-end visibility, automates the verification process, and empowers consumers to detect counterfeit drugs through a simple mobile interface. Experimental results demonstrate improved efficiency in drug verification and higher trust among stakeholders. This work presents a scalable, intelligent solution that bridges the gap between technological innovation and pharmaceutical safety.},
        keywords = {Blockchain; Hyperledger Fabric; Artificial Intelligence; Pharmaceutical Supply Chain; Drug Traceability; AI Chatbot; Internet of Things (IoT); Drug Authenticity; Node.js; Thing Speak; Azure Functions.},
        month = {March},
        }