Over time, human beings are attacked by different venereal diseases, which cause serious consequences. Not all people know exactly if they suffer from a venereal disease, so they look for possible treatments based on their symptoms in different media, not all of them are reliable. The objective of the research is to implement an expert system that, through a web page, provides a correct diagnosis based on the symptoms registered by the user, as well as a possible treatment for the identified disease. This was achieved based on the knowledge tree that was developed in Python so that when a user records their symptoms, the expert system validates the process. All this procedure was carried out using the Commonkads methodology. which is related based on knowledge topics. The result was the development of the application, which was validated by different specialists in expert systems, as well as by different users, giving a total average of 4 as a response, which was qualified as a high-quality level, on the other hand, the system brings an improvement in the acquisition of information through the web, providing diagnoses and possible treatments, in addition, it provides a facility to people who do not wish to attend a health establishment, as well as to specialists in the health sector, which allows them to provide diagnoses and treatments.