The mission of this research paper is to demonstrate the development of a breast cancer awareness and diagnosis expert system utilizing human experts’ knowledge that focuses on users’ lifestyle, personal and family history, and various symptoms of breast cancer to raise awareness about this disease and help early detection. Breast cancer is considered a second kind of cancer impacting women’s lives globally, and it affects about twenty percent of women in Oman, mainly due to a lack of awareness and early detection programs in some places and to cultural barriers. This study developed a simple breast cancer awareness and diagnosis expert system prototype to raise awareness among the female population in particular and to help diagnose breast cancer at early stages for better success rates in treatment. The system has been developed by using a web content rule-based expert system shell. Subsequent to the development of the system, it was evaluated by various users to check its benefits and advantages through a set of evaluation criteria. The potential users noted the advantages and limitations of the system.