WedaGPT - Generative-AI (with Custom-Trained Meta's Llama2 LLM), Blockchain, Self Sovereign Identity, NFT and Model Card Enabled Indigenous Medicine Platform

• Published in: 2024 IEEE Symposium on Computers and Communications (ISCC) pp. 1 - 6
• Main Authors: Bandara, Eranga, Foytik, Peter, Shetty, Sachin, Mukkamala, Ravi, Rahman, Abdul, Liang, Xueping, Keong, Ng Wee, De Zoysa, Kasun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.06.2024
• Subjects: Blockchain; Face recognition; Fraud; GPT; Hardware; History; Injuries; Knowledge based systems; Large language models; Llama2; LLM; Medical services; Model Card; NFT; Nonfungible tokens; Stakeholders
• ISSN: 2642-7389
• DOI: 10.1109/ISCC61673.2024.10733674

Traditional and indigenous medicine, deeply rooted in ancient traditions and wisdom, plays a crucial role in global healthcare and cultural identity. These practices provide treatments for illnesses such as cancer and bone injuries, which often lack effective remedies in Western medicine. However, these valuable systems face challenges like potential knowledge loss, undervaluation of practitioners' expertise, and the risk of fraud due to the absence of credential verification mechanisms. In this research, we introduce "WedaGPT," a Generative AI-enabled platform that utilizes a custom-trained Meta's Llama2 Large Language Model (LLM), Blockchain, self-sovereign identity (SSI), Non-Fungible Tokens (NFTs), and model cards to share traditional medical knowledge and address these issues. WedaGPT creates a collaborative ecosystem connecting doctors, medicine providers, therapists, patients, and technology experts, all committed to preserving and advancing traditional healing practices. This platform enables secure and transparent contributions from all stakeholders to patient well-being. Ancient medical recipe books are translated into English and digitized into PDF formats to enrich the platform's knowledge base. These texts are used to fine-tune the Llama2 LLM, which has been quantized and optimized with Qlora for performance on consumer-grade hardware. Through a chat-based interface in the SSI-enabled mobile wallet, users can interact with the LLM and access detailed information on treatments, recipes, prescriptions, and healing methods. Additionally, users can consult remotely with doctors who prescribe treatments through this wallet. A key feature of WedaGPT is transforming ancient medicinal recipes into NFT tokens for sale on NFT marketplaces, giving traditional knowledge digital authenticity and economic value. Revenue from these sales is distributed among platform contributors, promoting equitable ownership and recognition. Medical recipe data, including treatment histories and physician details, are encapsulated in Model Cards and securely stored on the blockchain. This system offers mechanisms to verify doctors and treatments in a privacy-preserving way, potentially reducing fraud and medication errors.