This document describes the design and implementation of a clinical decision support system for rural women. The system was created to improve healthcare access for rural women by providing diagnoses for five common diseases: dysmenorrhea, ovarian cysts, endometriosis, polycystic ovarian disease, and urinary tract infection. It uses an artificial intelligence-based knowledge base and rule-based inference engine to provide diagnoses and treatment recommendations to users based on their symptoms. The system was tested extensively before deployment to ensure accurate and efficient operation.