Video Demonstration
System Engineering Architecture
Designed & Engineered by Mazen Temani
End-to-end intelligent engineering pipeline built with clean separation of concerns, semantic data retrieval, and robust asynchronous APIs.
Screenshots & Interface
Patients seeking herbal remedies had no reliable way to match symptoms to medicinal plants, and healthcare providers lacked a digital bridge between traditional medicine and modern diagnosis.
Built a RAG-powered chatbot with domain-adapted embeddings to understand both medical symptoms and botanical terminology, connecting patients with relevant plant remedies and healthcare providers.
Created a functional health-tech platform linking three user types (patients, doctors, pharmacists) with AI-driven plant recommendations.
Technical Deep Dive
A Flutter/Django application for medicinal plant discovery and patient health guidance. Features a dual-purpose chatbot (symptom checker & plant recommender) powered by RAG and domain-adapted embeddings that resolves semantic ambiguity between patient symptoms and herbal remedies. Includes data scraping, report generation, and notification pipelines linking patients, doctors, and pharmacists.