Patients often face language and communication barriers during treatment. Llama 3.1’s multilingual support and natural language processing accurately interpret and respond to patient inputs. We also utilize text-to-speech technology, providing users more easy verbal interaction.

A picture is worth a thousand words. Our LLAVA-ish multi-modal model could quickly analyzes uploaded images, like oral ulcer, skin rashes or other side effects, and provides instant recommendations, ensuring patients receive professional support even at home.

Every patient has his/her unique journey fighting cancer. We use Llama 3.1 to provide personalized advice and emotional support, tailored to each patient’s history, health reports, and interactions. Our RAG technology ensures these responses are based on the latest cancer guidelines.

Our architecture features a front-end application, middleware services, and a back-end database. Data is cleaned, standardized, and analyzed to ensure reliable responses. The modular design supports scalability for future adaptation.