ABSTRACT
This research delves into the development and implementation of a pioneering personalized treatment plan, strategically incorporating the Large Language Model (LLM) and the Streamlit web application framework. Prioritizing enhanced patient care, the project envisions a user-friendly interface proficient in deciphering intricate prescriptions and dispensing personalized treatment recommendations. Gemini ProVision LLM offers advanced language processing, ensuring nuanced prescription interpretation, while Streamlit crafts an accessible and intuitive interface. The study systematically assesses the project's efficacy, examining its transformative impact on healthcare practices. Insights into integration challenges, technological considerations, and implications contribute valuable perspectives to the broader discourse on the intersection of artificial intelligence, web frameworks, and healthcare innovation.
