Skin diseases are conditions that irritate, or affect the skin causing huge impact on a person’s day-to-day life. The tight schedule of people has greatly affected their availability to routine check-ups, thus keeping them away from visiting a doctor. The reputation of web-based medical systems is slowly becoming a paradigm to help people know the severity level of a disease. Acne skin disease ranks among the most popular skin disease and upsets the sebaceous glands, hence, routine check-ups could help prevent burns. In this paper, fuzzy based method is proposed for the identification of acne skin disease. This method is proposed to overcome the shortcoming of expert systems in previous methods. From literature, expert system reasoning is associated with uncertainty. Our proposed expert system uses fuzzy rules to resolve imprecision in the expert system reasoning. According to the evaluation results from the confusion matrix, modeled for evaluating the performance of the proposed fuzzy expert scheme, it was established that the scheme got 82% accuracy, which is indicative of a good performance. The designed fuzzy expert system showed a high level of recommendation, treatment advice and suggests the severity of acne skin disease in the patient.