Abstract
The project aims to develop large language models specializing in herbs and traditional medicine, unifying scattered data from certified sources to create a cohesive knowledge base, while also addressing gaps in current resources.
Preserving and Expanding Traditional Medicinal Wisdom with AI
The project aims to develop large language models specializing in herbs and traditional medicine, unifying scattered data from certified sources to create a cohesive knowledge base, while also addressing gaps in current resources.
This project leverages AI technologies to preserve and enhance traditional medicinal knowledge, offering a unified, multilingual, and scalable knowledge base for herbal research and healthcare innovation.
Despite efforts by organizations like AYUSH, the knowledge of traditional medicinal herbs remains fragmented and inaccessible. AI technologies have not been effectively applied to integrate and expand this knowledge base.
The project seeks to collect, preprocess, and store multimodal data, train large language models, develop image-based question answering systems, and create user-friendly platforms for accessibility and research.