Blueprinting User-Centric Design for Developing Herbal Plant Location-Based Recommendation System Applying TOGAF ADM and Agile Sprints

This study presents "MedPlantFinder," a pioneering mobile application developed through a unique integration of The Open Group Architecture Framework (TOGAF) Architecture Development Method (ADM) and Agile methodologies, termed "TOGAF-ADM+Agile." This design approach enables the app to offer personalized medicinal plant recommendations, leveraging machine learning for tailored healthcare advice and incorporating geospatial data to provide location-specific plant suggestions. The application stands out for its ability to deliver detailed navigational maps and preparation instructions for various medicinal plants, addressing specific health conditions of users. By combining TOGAF ADM's structured framework with Agile's flexibility and iterative nature, MedPlantFinder achieves a responsive and scalable architecture. This methodical fusion significantly enhances data management, optimizes recommendation algorithms, and ensures precise alignment with user feedback and health requirements. The app is a step forward in digital healthcare, designed to lower healthcare expenses and promote natural treatments by merging traditional medicine with modern technology for personalized health solutions.