Paper Title
Blockchain and AI in Pharmaceutical Supply Chain

Abstract
Currently, counterfeit pharmaceuticals pose a serious risk, as consumers are unable to determine the true value of drugs they have acquired because of the remarkably less clarity in the current system. Furthermore, it is difficult to investigate interference in the distribution network when there is suspicion of illegal or immoral behavior. Our approach combines two powerful innovations, AI and blockchain. A blockchain is a publicly accessible, shared ledger that effectively records transactions between two parties in a way that can be verified and preserved over time. Because blockchains are transparent, decentralized, shareable, and unchangeable, they may be used to combat fake medications[1]. AI in medication research provides quick access to blockchain-driven healthcare information, while improving customer support and loyalty. This study presented a blockchain-based frameworkThe AI is used to ensure that medical supplies are securely transported across a supply chain. Through a task request-response method, chain-certified organizations can communicate about any item in the chain. An item can then be tracked back. thanks to smart agreements that record all transactions between organizations on the blockchain. To help clients purchase medications, trace them back, and improve blockchainenabled credit analysis, we created a Rasa virtual assistant that was incorporated into a flutter application. Subsequently, a decentralized application (DApp) was constructed using the React Framework. The localized blockchain of Ganache was used to implement the smart agreements. DApp uses Web3.js and the Truffle framework to communicate with the blockchain. The outcomes of the trial verify that our approach is more useful and robust than the existing frameworks Keywords - Supply Chain, Drug Counterfeiting, Blockchain, Ethereum, Smart Contracts, Product Traceability, and Artificial Intelligence